Compare Gemini 3.1 Pro and Gemini 3.6 Flash: Frontier Reasoning vs Rapid Workhorse
Gemini 3.1 Pro vs Gemini 3.6 Flash: which should I use?
Google Gemini 3.1 Pro is built for deep multimodal understanding and 2M context ($2.00/$12.00 per million tokens), while Gemini 3.6 Flash offers low latency and high throughput for production pipelines ($1.50/$7.50 per million tokens). Verified 2026-09-07.
Verified 2026-09-07
Where can you find price, speed, and task evidence for Gemini 3.1 Pro and Gemini 3.6 Flash?
Which tasks fit Gemini 3.1 Pro and Gemini 3.6 Flash?
Best-fit task signals from the published model strengths; this is not a substitute for a controlled benchmark.
| Fact | Gemini 3.1 Pro | Gemini 3.6 Flash |
|---|---|---|
| Best fit | Whole-codebase, whole-document, or long-video analysis in a single request. | Latency-sensitive coding and agentic tasks that still need a huge context window. |
| Reasoning mode | Available | Available |
What does a Coding Agent workload cost with Gemini 3.1 Pro and Gemini 3.6 Flash?
Modeled for Coding Agent: 20,000 input + 2,000 output tokens per task, 1 turn. This is a workload model, not a provider quote.
| Fact | Gemini 3.1 Pro | Gemini 3.6 Flash |
|---|---|---|
| Coding Agent / task | $0.06 (modeled) | $0.04 (modeled) (winner) |
| Input / output rate | $2.00 / $12.00 per M | $1.50 / $7.50 per M |
How fast are Gemini 3.1 Pro and Gemini 3.6 Flash?
Only non-estimated benchmark results are shown as measured.
| Fact | Gemini 3.1 Pro | Gemini 3.6 Flash |
|---|---|---|
| Measured throughput | 55 tokens/s | 114 tokens/s (winner) |
| Time to first token | 420 ms | 310 ms |
How compatible are Gemini 3.1 Pro and Gemini 3.6 Flash with APIs?
Provider-level wire-format and SDK facts; model-specific parameter differences may still apply.
| Fact | Gemini 3.1 Pro | Gemini 3.6 Flash |
|---|---|---|
| OpenAI SDK | Not drop-in | Not drop-in |
| Request shape | contents/parts structure instead of messages; an OpenAI-compatible endpoint exists but only covers a subset of parameters. | contents/parts structure instead of messages; an OpenAI-compatible endpoint exists but only covers a subset of parameters. |
| Streaming | SSE (Gemini streamGenerateContent) | SSE (Gemini streamGenerateContent) |
What are the privacy and retention policies for Gemini 3.1 Pro and Gemini 3.6 Flash?
Provider policy and residency facts from the verified provider registry. A missing retention policy is not treated as a guarantee.
| Fact | Gemini 3.1 Pro | Gemini 3.6 Flash |
|---|---|---|
| Provider says API data trains models | No | No |
| Published retention period | Unavailable | Unavailable |
| Data residency | Global by default; Vertex AI offers selectable regional endpoints | Global by default; Vertex AI offers selectable regional endpoints |
How much effort does it take to migrate between Gemini 3.1 Pro and Gemini 3.6 Flash?
Direction is from each displayed model to the other. Effort is derived from provider compatibility and published parameter maps.
| Fact | Gemini 3.1 Pro | Gemini 3.6 Flash |
|---|---|---|
| Move Gemini 3.1 Pro → Gemini 3.6 Flash | drop-in; 0 breaking parameter differences | Target: Gemini 3.6 Flash |
| Move Gemini 3.6 Flash → Gemini 3.1 Pro | Source: Gemini 3.6 Flash | drop-in; 0 breaking parameter differences |
| Why | Same provider; only the model identifier changes. | Same provider; only the model identifier changes. |
Batch 52 · exact pair decision and evidence contributions. Surface verification: 2026-09-01. These three boards are server-rendered from frozen fixtures; assumptions and unavailable joins are not observations.
Exact pair boundary: requested models are gemini-3-1-pro and gemini-3-6-flash. A broad provider, pricing, task, or rate-limit verdict is out of scope.
Pro/Flash workload-envelope admission matrix
Frozen Batch 52 fixture board. Formula / decision rule: eligible = shape + reserve + required controls + latency floor all satisfied for exact model; gap => No supported verdict Boundary: This matrix owns the exact Pro/Flash threshold; generic Gemini and Google policy remain with their owners.
| Frozen fixture / field ID | Joined fields and evidence | Output | State |
|---|---|---|---|
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r1hard reasoning | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=thinking=required; quality floor=declared; output reserve=4K; evidence=2026-09-01 | selected model=Unavailable without comparable hard-reasoning evidence | NO SUPPORTED VERDICT — evidence gap |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r2interactive coding | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=text+tools; latency floor=declared; schema=required; evidence=2026-09-01 | admit whichever exact model passes tool/schema/SLO gates; current state=Unavailable | UNAVAILABLE — local SLO |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r3250K document | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=text=250K; output=4K; context reserve=required; evidence=2026-09-01 | context admission=Unavailable until both exact ceilings join | UNAVAILABLE — context join |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r4multimodal extraction | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=image=1; text=declared; media units=required; schema=JSON; evidence=2026-09-01 | unknown media accounting blocks selection | FAIL CLOSED — media accounting |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r5parallel-tool agent | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=tools=parallel; schema=required; side_effects=contained; evidence=2026-09-01 | eligible tier=Unavailable until exact tool trace joins | UNAVAILABLE — tool evidence |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r6batch classification | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=text=8K; output=1K; latency=not required; quality floor=declared; evidence=2026-09-01 | lowest-pair-cost is deferred to rate-owner inputs; quality result=Unavailable | UNAVAILABLE — paired quality |
Provenance: Batch 52 gemini-3-1-pro-vs-gemini-3-6-flash, first-party evidence, surface verification date 2026-09-01. Google Gemini API model documentation. Missing joins fail closed.
Shared-evaluation comparability and exception ledger
Frozen Batch 52 fixture board. Formula / decision rule: delta = Pro − Flash only when evaluation/version/settings/tools/judge/denominator match; exception is explicit Boundary: Do not average unlike tasks or thinking levels into a pair winner.
| Frozen fixture / field ID | Joined fields and evidence | Output | State |
|---|---|---|---|
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r1shared coding rows | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=evaluation=v; coding; tools=same; thinking=same; values=missing; evidence=2026-09-01 | delta=Unavailable until both values and denominator join | CONDITIONAL — comparable shape |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r2shared agent rows | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=evaluation=v; agent; tools/side_effects=same; sample=required; evidence=2026-09-01 | paired agent delta=Unavailable | UNAVAILABLE — sample/value gap |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r3shared hard-reasoning rows | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=evaluation=v; thinking=same; judge=same; denominator=required; evidence=2026-09-01 | reasoning delta=Unavailable without complete row | UNAVAILABLE — denominator gap |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r4different benchmark version | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=evaluation=revA/revB; settings=unknown; evidence=2026-09-01 | exclude from aggregate | NOT COMPARABLE — version mismatch |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r5different thinking level | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=evaluation=v; Pro=high thinking; Flash=low thinking; evidence=2026-09-01 | exception is setting-driven, not a model-only delta | NOT COMPARABLE — thinking mismatch |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r6missing Pro/Flash cell | provider=Google; host=generativelanguage.googleapis.com; a=gemini-3.1-pro; b=gemini-3.6-flash; setting=evaluation=v; one value missing; source/date=partial; evidence=2026-09-01 | no pair verdict | UNAVAILABLE — missing cell |
Provenance: Batch 52 gemini-3-1-pro-vs-gemini-3-6-flash, first-party evidence, surface verification date 2026-09-01. Google Gemini API model documentation. Missing joins fail closed.
Threshold-based Pro/Flash router receipt
Frozen Batch 52 fixture board. Formula / decision rule: select first policy whose qualifying evidence passes: reasoning floor → SLO → shape → cost; missing speed => Unavailable Boundary: Broad fastest/cheapest rankings and Google rates retain their canonical owners.
| Frozen fixture / field ID | Joined fields and evidence | Output | State |
|---|---|---|---|
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r1reasoning-floor-first | priority=reasoning; floor=declared; Pro evidence=Unresolved; Flash evidence=Unresolved; fallback=human | selected model=Unavailable | UNAVAILABLE — reasoning evidence |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r2latency-SLO-first | priority=latency; target=declared; measured speed=missing; quality floor=declared | selected model=Unavailable; no estimated winner | UNAVAILABLE — measured speed missing |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r3long-prompt | priority=context; input=250K; output=4K; exact ceilings=required; cache=separate | selection=Unavailable until both context joins | UNAVAILABLE — long-prompt evidence |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r4multimodal | priority=media; image/video units=required; exact model support=dated; schema=required | selection=Unavailable if any media/control join is missing | CONDITIONAL — modality gate |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r5lowest-pair-cost | priority=cost; tokens=declared; rates=dated pricing owner; quality floor=required | tie/selection=Unavailable until quality and rate joins | UNAVAILABLE — cost-quality join |
batch52-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r6missing-speed policy | priority=latency; speed=missing; fallback=quality-first or human; no estimate | selected model=Unavailable | UNAVAILABLE — policy cannot invent speed |
Provenance: Batch 52 gemini-3-1-pro-vs-gemini-3-6-flash, first-party evidence, surface verification date 2026-09-01. Google Gemini API pricing. Missing joins fail closed.
Method and limitations: calculations use only the displayed deterministic rule and visibly labeled assumptions. Missing provider, host, alias, version, effort, tool, modality, benchmark, workload, rate-period, or date joins fail closed. Run the gemini-3-1-pro-vs-gemini-3-6-flash Batch 52 scenario →
Batch 66 · exact-pair decision contributions · verified 2026-09-07
Exact pair boundary: Google; same provider, tier escalation, 2M multimodal flagship vs 1M fast workhorse, and pricing must join. Requested models are gemini-3.1-pro and gemini-3.6-flash. Provider, rate, pricing, and task pages remain fact owners.
Token pricing and enterprise tier expenditure matrix
Frozen Batch 66 scenario board. Formula / deterministic rule: monthly_spend = calls * ((in_tokens * rate_in + out_tokens * rate_out) / 1M) Boundary: Owns base token tariff comparisons and budget expenditure modeling.
| Frozen scenario / field ID | Pair, identity, host, surface, and evidence fields | Result | State |
|---|---|---|---|
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r110K interactive reasoning queries | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=10K interactive reasoning queries; workload; prompt tokens; completion tokens; Gemini 3.1 Pro spend; Gemini 3.6 Flash spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 10K interactive reasoning queries is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r250K document extraction requests | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=50K document extraction requests; workload; prompt tokens; completion tokens; Gemini 3.1 Pro spend; Gemini 3.6 Flash spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 50K document extraction requests is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r3100K high-volume customer queries | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=100K high-volume customer queries; workload; prompt tokens; completion tokens; Gemini 3.1 Pro spend; Gemini 3.6 Flash spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 100K high-volume customer queries is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r4prompt caching active (75% read discount both) | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=prompt caching active (75% read discount both); workload; prompt tokens; completion tokens; Gemini 3.1 Pro spend; Gemini 3.6 Flash spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — prompt caching active (75% read discount both) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r5batch processing active (50% both) | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=batch processing active (50% both); workload; prompt tokens; completion tokens; Gemini 3.1 Pro spend; Gemini 3.6 Flash spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — batch processing active (50% both) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m1-r6unresolved pricing currency | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=unresolved pricing currency; workload; prompt tokens; completion tokens; Gemini 3.1 Pro spend; Gemini 3.6 Flash spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — unresolved pricing currency has no matched, dated bilateral observation. | FAIL CLOSED — manual, probe, or source evidence required |
First-party provenance: Google Gemini API pricing; verification date 2026-09-07. Missing or conflicting joins fail closed.
Two-tier escalation pipeline architecture and cost savings
Frozen Batch 66 scenario board. Formula / deterministic rule: blended_spend = flash_volume * flash_cost + pro_escalated_volume * pro_cost Boundary: Owns two-tier architectural routing between fast speed and frontier reasoning.
| Frozen scenario / field ID | Pair, identity, host, surface, and evidence fields | Result | State |
|---|---|---|---|
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r1100% Gemini 3.6 Flash baseline | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=100% Gemini 3.6 Flash baseline; escalation mix; total monthly queries; blended spend; cost savings vs pure Pro; quality retention; router verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 100% Gemini 3.6 Flash baseline is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r290% Flash / 10% Pro escalation | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=90% Flash / 10% Pro escalation; escalation mix; total monthly queries; blended spend; cost savings vs pure Pro; quality retention; router verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 90% Flash / 10% Pro escalation is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r380% Flash / 20% Pro escalation | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=80% Flash / 20% Pro escalation; escalation mix; total monthly queries; blended spend; cost savings vs pure Pro; quality retention; router verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 80% Flash / 20% Pro escalation is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r450% Flash / 50% Pro escalation | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=50% Flash / 50% Pro escalation; escalation mix; total monthly queries; blended spend; cost savings vs pure Pro; quality retention; router verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 50% Flash / 50% Pro escalation is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r5100% Gemini 3.1 Pro comparison | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=100% Gemini 3.1 Pro comparison; escalation mix; total monthly queries; blended spend; cost savings vs pure Pro; quality retention; router verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 100% Gemini 3.1 Pro comparison is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m2-r6unresolved router confidence threshold | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=unresolved router confidence threshold; escalation mix; total monthly queries; blended spend; cost savings vs pure Pro; quality retention; router verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — unresolved router confidence threshold has no matched, dated bilateral observation. | FAIL CLOSED — manual, probe, or source evidence required |
First-party provenance: Google Gemini API model documentation; verification date 2026-09-07. Missing or conflicting joins fail closed.
Context window saturation (2M vs 1M) capability gate
Frozen Batch 66 scenario board. Formula / deterministic rule: eligible = (context <= 1M ? Both : (context <= 2M ? Pro : Excluded)) Boundary: Owns context scaling and capability gating for massive multimodal inputs.
| Frozen scenario / field ID | Pair, identity, host, surface, and evidence fields | Result | State |
|---|---|---|---|
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r1short text prompt (10K tokens) | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=short text prompt (10K tokens); context size; Pro eligible; Flash eligible; Pro cost; Flash cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — short text prompt (10K tokens) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r2multi-hour audio recording (500K tokens) | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=multi-hour audio recording (500K tokens); context size; Pro eligible; Flash eligible; Pro cost; Flash cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — multi-hour audio recording (500K tokens) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r3full video lecture archive (1M boundary) | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=full video lecture archive (1M boundary); context size; Pro eligible; Flash eligible; Pro cost; Flash cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — full video lecture archive (1M boundary) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r4massive corporate document repository (1.5M tokens) | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=massive corporate document repository (1.5M tokens); context size; Pro eligible; Flash eligible; Pro cost; Flash cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — massive corporate document repository (1.5M tokens) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r52M full context saturation test | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=2M full context saturation test; context size; Pro eligible; Flash eligible; Pro cost; Flash cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 2M full context saturation test is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch66-gemini-3-1-pro-vs-gemini-3-6-flash-m3-r6unsupported media payload format | pair=gemini-3.1-pro vs gemini-3.6-flash; provider=Google; hostA=generativelanguage.googleapis.com; hostB=generativelanguage.googleapis.com; surfaceA=Google AI Studio / Vertex AI; surfaceB=Google AI Studio / Vertex AI; requested/effective IDs=gemini-3.1-pro,gemini-3.6-flash; scenario=unsupported media payload format; context size; Pro eligible; Flash eligible; Pro cost; Flash cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — unsupported media payload format has no matched, dated bilateral observation. | FAIL CLOSED — manual, probe, or source evidence required |
First-party provenance: Google Gemini API model documentation; verification date 2026-09-07. Missing or conflicting joins fail closed.
Method and limitations: formulas are deterministic; observed and assumed inputs are labeled; no missing provider, host, account, region, realm, alias, snapshot, revision, weight, artifact, control, tool, modality, workload, rate-period, timestamp, or result is transferred. Run the gemini-3-1-pro-vs-gemini-3-6-flash Batch 66 scenario →
How do Gemini 3.1 Pro and Gemini 3.6 Flash compare on specs?
| Gemini 3.1 Pro | Gemini 3.6 Flash | |
|---|---|---|
| Price (input) | $2.00/M | $1.50/M ✓ |
| Price (output) | $12.00/M | $7.50/M ✓ |
| Blended price | $4.50/M | $3.00/M ✓ |
| Context window | 2,000,000 tokens ✓ | 1,000,000 tokens |
| Max output | 64,000 tokens | 64,000 tokens |
| Modalities | text, vision, audio | text, vision, audio |
| Reasoning mode | Yes | Yes |
| Released | 2026-02 | 2026-06 |
| Speed | 55 t/s | 114 t/s ✓ |
How much do Gemini 3.1 Pro and Gemini 3.6 Flash cost at scale?
| Tokens / month | Gemini 3.1 Pro | Gemini 3.6 Flash | Delta |
|---|---|---|---|
| 1,000,000 | $4.50 | $3.00 | $1.50 (1.5×) |
| 10,000,000 | $45.00 | $30.00 | $15.00 (1.5×) |
| 100,000,000 | $450.00 | $300.00 | $150.00 (1.5×) |
Choose Gemini 3.1 Pro if…
- ✓Largest context window of any current model (2M tokens)
- ✓Native audio and video understanding
- ✓Google Search grounding
- ✓Whole-codebase, whole-document, or long-video analysis in a single request.
Choose Gemini 3.6 Flash if…
- ✓Faster than Gemini 3.5 Flash
- ✓Top-tier coding and agentic performance for its price
- ✓1M-token context
- ✓Latency-sensitive coding and agentic tasks that still need a huge context window.
Run this exact matchup right now
Send the same prompt to Gemini 3.1 Pro and Gemini 3.6 Flash side by side and see the outputs yourself.
Try Gemini 3.1 Pro vs Gemini 3.6 Flash FreeWhat are common questions about Gemini 3.1 Pro and Gemini 3.6 Flash?
Is Gemini 3.1 Pro cheaper than Gemini 3.6 Flash?
Gemini 3.6 Flash is cheaper, at $3.00 per million blended tokens vs $4.50 for Gemini 3.1 Pro.
Which has the bigger context window, Gemini 3.1 Pro or Gemini 3.6 Flash?
Gemini 3.1 Pro has the larger context window: 2,000,000 tokens vs 1,000,000.
Can Gemini 3.1 Pro replace Gemini 3.6 Flash for coding?
Both are viable for coding. Largest context window of any current model (2M tokens) (Gemini 3.1 Pro) vs Faster than Gemini 3.5 Flash (Gemini 3.6 Flash) — pick based on which strength matters more for your workload.
Which is faster, Gemini 3.1 Pro or Gemini 3.6 Flash?
Gemini 3.6 Flash is faster: 114 t/s vs 55 t/s, measured on our speed benchmarks.
Neither of these? See Gemini 3.1 Pro alternatives or Gemini 3.6 Flash alternatives.
What related comparisons help choose between Gemini 3.1 Pro and Gemini 3.6 Flash?
Gemini 3.1 Pro pricingGemini 3.6 Flash pricingvs Claude Opus 4.8vs Claude Sonnet 5vs DeepSeek V4 Provs GPT-5.6 SolPremium model tests
Pricing verified 2026-04-06. Specs verified 2026-08-14.