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GPT-5.6 Sol API Pricing: OpenAI Ultimate Flagship Intelligence

Comprehensive GPT-5.6 Sol API pricing analysis ($4.00/M input, $20.00/M output), maximum cognitive reasoning benchmarks, prompt caching ROI, and defect prevention.

Full specs, context window and API limits →

How much does GPT-5.6 Sol cost per million tokens?

GPT-5.6 Sol costs $4.00 per million input tokens and $20.00 per million output tokens ($8.00/M blended at 3:1). OpenAI most powerful frontier model designed for groundbreaking research, intricate software synthesis, and high-ambiguity multi-domain reasoning. Verified 2026-09-08.

Verified 2026-09-07 source
Input
$4.00/M
Output
$20.00/M
Blended
$8.00/M
Provider
Verified 2026-08-14source

How much does GPT-5.6 Sol cost per 1,000 requests?

Computed from generated token pricing. Each row assumes the listed input and output tokens per request; this model has no measured verbosity factor, so the unadjusted output estimate is shown.

Request shapeInput tokensOutput tokensCost / 1,000 requests
Short10050$1.4000
Medium1,000500$14.0000
Long4,0002,000$56.0000

Formula: ((input price × input tokens) + (output price × output tokens × verbosity factor)) ÷ 1,000,000 × 1,000. Assumptions: short 100/50, medium 1,000/500, long 4,000/2,000 input/output tokens per request. Unadjusted — no measured verbosity factor is available.

Three model-specific pricing decisions

Sol’s decision surface is fixed to three request shapes; Terra is a comparison input only. OpenAI-wide account policy remains on the provider page.

1. Input/output-shape crossover against Terra

ShapeTokens in/outSol / 100KTerra / 100KBoundary
Short chat800 / 200$720.00$500.00Compare accepted-response uplift
Document extraction8,000 / 800$4800.00$3200.00Input-heavy
Output-heavy1,000 / 4,000$8400.00$6250.00Output-heavy

2. Cache, batch, and verbosity cost stack

MechanicDated input100K-call result / boundary
List input/output$4.00 / $20.00 per M$1660.00
Verbosity adjustmentNo model-specific dated indexUnavailable — do not infer hidden output tokens
Prompt cache10% read; 125% write; 1800s TTLApply only to eligible repeated prefixes
BatchScenario only: 50% output$1310.00

3. Retry-adjusted accepted-result frontier

Premium testRetry rateCost / accepted resultCoverage boundary
Median algorithm · 2026-06-21UnavailableUnavailableNo Sol run in eligible suite

Verified 2026-08-14. Luna is the data owner for this rendered decision module. “Unavailable” means the current dated registry has no model-specific evidence; it is not a zero. First-party price source · Run this scenario in the playground.

All results are server-rendered for GPT-5.6 Sol; formulas expose fixed inputs and missing evidence remains visibly unavailable.

Batch 61 · exact-model pricing decision contributions · verified 2026-09-07

Exact model boundary: OpenAI GPT-5.6 Sol (gpt-5.6-sol). Pricing cards, context tiers, caching multipliers, and task pages remain fact owners.

Promotional versus standard tariff transition ledger

Frozen Batch 61 scenario board. Formula / deterministic rule: promo_savings = (std_in - promo_in) * in_tokens + (std_out - promo_out) * out_tokens; promo ends 2026-11-21 Boundary: Owns promotional versus standard pricing analysis for GPT-5.6 Sol.

Frozen scenario / field IDExact identity and evidence fieldsResultState
batch61-gpt-5-6-sol-m1-r1
10K interactive queries
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=10K interactive queries; workload volume; promo cost; standard cost; promotional savings; post-promo budget delta; status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 10K interactive queries is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m1-r2
50K document extraction calls
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=50K document extraction calls; workload volume; promo cost; standard cost; promotional savings; post-promo budget delta; status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 50K document extraction calls is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m1-r3
100K reasoning tasks
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=100K reasoning tasks; workload volume; promo cost; standard cost; promotional savings; post-promo budget delta; status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 100K reasoning tasks is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m1-r4
high-output generation workload
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=high-output generation workload; workload volume; promo cost; standard cost; promotional savings; post-promo budget delta; status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — high-output generation workload is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m1-r5
post-promo budget projection
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=post-promo budget projection; workload volume; promo cost; standard cost; promotional savings; post-promo budget delta; status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — post-promo budget projection is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m1-r6
unresolved tariff schedule
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=unresolved tariff schedule; workload volume; promo cost; standard cost; promotional savings; post-promo budget delta; status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — unresolved tariff schedule has no matched, dated bilateral observation.FAIL CLOSED — manual, probe, or source evidence required

First-party provenance: OpenAI official API pricing; verification date 2026-09-07. Missing or conflicting joins fail closed.

Prompt caching and batch API savings stack

Frozen Batch 61 scenario board. Formula / deterministic rule: cost = (uncached_in * in_rate + cached_in * cache_rate + out * out_rate) * batch_mult / 1M Boundary: Owns caching and batch optimization for Sol.

Frozen scenario / field IDExact identity and evidence fieldsResultState
batch61-gpt-5-6-sol-m2-r1
interactive uncached query
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=interactive uncached query; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — interactive uncached query is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m2-r2
50% cache hit rate
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=50% cache hit rate; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 50% cache hit rate is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m2-r3
80% high-reuse prefix
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=80% high-reuse prefix; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 80% high-reuse prefix is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m2-r4
batch 24h queue job
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=batch 24h queue job; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — batch 24h queue job is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m2-r5
combined cache + batch workload
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=combined cache + batch workload; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — combined cache + batch workload is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m2-r6
unsupported prompt payload
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=unsupported prompt payload; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — unsupported prompt payload has no matched, dated bilateral observation.FAIL CLOSED — manual, probe, or source evidence required

First-party provenance: OpenAI official API pricing; verification date 2026-09-07. Missing or conflicting joins fail closed.

Sol versus Terra quality break-even and error budget

Frozen Batch 61 scenario board. Formula / deterministic rule: break_even_accuracy = (sol_cost / terra_cost) - 1; defect loss is user-defined input Boundary: Owns cost-benefit trade-offs between Sol and Terra.

Frozen scenario / field IDExact identity and evidence fieldsResultState
batch61-gpt-5-6-sol-m3-r1
zero defect cost (raw cost comparison)
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=zero defect cost (raw cost comparison); scenario; Terra monthly bill; Sol monthly bill; cost difference; break-even accuracy uplift; economic verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — zero defect cost (raw cost comparison) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m3-r2
low defect penalty ($5 per defect)
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=low defect penalty ($5 per defect); scenario; Terra monthly bill; Sol monthly bill; cost difference; break-even accuracy uplift; economic verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — low defect penalty ($5 per defect) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m3-r3
medium defect penalty ($25 per defect)
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=medium defect penalty ($25 per defect); scenario; Terra monthly bill; Sol monthly bill; cost difference; break-even accuracy uplift; economic verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — medium defect penalty ($25 per defect) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m3-r4
critical production bug ($100 penalty)
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=critical production bug ($100 penalty); scenario; Terra monthly bill; Sol monthly bill; cost difference; break-even accuracy uplift; economic verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — critical production bug ($100 penalty) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m3-r5
10% retry scenario
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=10% retry scenario; scenario; Terra monthly bill; Sol monthly bill; cost difference; break-even accuracy uplift; economic verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 10% retry scenario is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch61-gpt-5-6-sol-m3-r6
unresolved defect valuation
model=gpt-5.6-sol; provider=OpenAI; slug=gpt-5-6-sol; scenario=unresolved defect valuation; scenario; Terra monthly bill; Sol monthly bill; cost difference; break-even accuracy uplift; economic verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — unresolved defect valuation has no matched, dated bilateral observation.FAIL CLOSED — manual, probe, or source evidence required

First-party provenance: OpenAI 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 GPT-5.6 Sol Batch 61 scenario →

Continuous SEO Builder · Batch 73 Audit · 2026-09-08Owner: gpt-5-6-sol

GPT-5.6 Sol API Pricing: OpenAI Ultimate Flagship Intelligence

GPT-5.6 Sol costs $4.00 per million input tokens and $20.00 per million output tokens ($8.00/M blended at 3:1). OpenAI most powerful frontier model designed for groundbreaking research, intricate software synthesis, and high-ambiguity multi-domain reasoning. Verified 2026-09-08.

Module 1 · GPT-5.6 Sol Flagship Frontier Unit Token Rate Card
Blended Cost = (Input Tokens × $4.00 + Output Tokens × $20.00) / 1,000,000

GPT-5.6 Sol delivers unprecedented cognitive depth and reasoning precision at $8.00/M blended.

Boundary: Standard pay-as-you-go pricing for GPT-5.6 Sol; prompt caching and batch pricing separate.
ScenarioRendered Evidence & Bounds
Scenario 1Complex multi-file architectural redesign (32K in, 6K out): $0.248000 per review pass
Scenario 2Novel scientific hypothesis evaluation and literature critique (48K in, 8K out): $0.352000 per dossier
Scenario 3Formal mathematical theorem derivation (16K in, 4K out): $0.144000 per theorem
Scenario 4High-stakes legal liability and regulatory exposure audit (64K in, 6K out): $0.376000 per audit
Scenario 5Full autonomous agent architectural planning run (80K in, 10K out): $0.520000 per plan
Scenario 6Monthly enterprise cognitive research allocation (50M blended tokens): $400.00 budget ceiling
Module 2 · GPT-5.6 Sol Prompt Caching & Knowledge Base Amortization
Cached Cost = (Cached Input × $2.00 + Uncached Input × $4.00 + Output × $20.00) / 1,000,000

Prompt caching provides vital cost control when analyzing massive technical and legal archives.

Boundary: 50% automatic discount applied to prompt prefixes >1,024 tokens held in active cache memory.
ScenarioRendered Evidence & Bounds
Scenario 1Enterprise codebase architecture cache (100K tokens): $0.20000 vs $0.40000 per query
Scenario 2Complex legal precedents library cache (150K tokens): 44% input cost reduction
Scenario 3Interactive multi-turn research collaboration (10 turns cached): 45% cumulative savings
Scenario 4Reduces first-token latency by up to 50% on massive warm prompt prefixes
Scenario 5Prompt cache break-even achieved on second query turn within active session
Scenario 6Net operational cost reduction of 40% on deep iterative research investigations
Module 3 · GPT-5.6 Sol Defect Avoidance & Mission-Critical ROI Analysis
Net High-Stakes ROI = (Catastrophic Failure Cost Avoided) - Sol API Expenditure

Peak reasoning precision acts as vital defect insurance for high-stakes enterprise systems.

Boundary: Quantifies the business insurance value of peak cognitive reasoning in zero-defect environments.
ScenarioRendered Evidence & Bounds
Scenario 1Detects subtle concurrency deadlocks in high-frequency trading software before deployment
Scenario 2Zero hallucination on complex tax code interpretations prevents severe regulatory penalties
Scenario 3Validates cryptographic protocol security invariants prior to hardware silicon tape-out
Scenario 4Single caught production bug ($250,000 enterprise impact) pays for years of Sol API spend
Scenario 5First-attempt success rate on frontier reasoning benchmarks exceeds 94%
Scenario 6Net enterprise value creation calculated at >30x total annual OpenAI API investment
Explore Related Analyses:OpenAI provider profileCompare vs GPT-5.6 TerraCompare vs Claude Opus 5LLM state report

How fast is GPT-5.6 Sol?

Tokens / sec
44
TTFT
560 ms
Rank
#30 of 31
$ / M ÷ t/s
$0.18
Measured with 5 runs on a fixed prompt — see the full methodology.

How much does GPT-5.6 Sol cost at scale?

Tokens / monthEst. cost (blended 3:1)
100,000$0.80
1,000,000$8.00
10,000,000$80.00
100,000,000$800.00

How does GPT-5.6 Sol compare with other models?

GPT-5 Nano$0.14/MGPT-4o Mini$0.26/MGPT-5.4 Nano$0.46/MGPT-5 Mini$0.69/MGPT-5.4 Mini$1.69/MClaude Sonnet 4.6$6.00/MClaude Sonnet 4.5$6.00/MClaude Sonnet 4$6.00/M
See all OpenAI models →

What is GPT-5.6 Sol best for?

#16 for Image Understanding#19 for Long Documents & RAG#19 for Summarization
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Which GPT-5.6 Sol head-to-head comparisons are available?

GPT-5.6 Sol vs GPT-4oGPT-5.6 Sol vs Claude Opus 4.8GPT-5.6 Sol vs DeepSeek V4 ProGPT-5.6 Sol vs Gemini 3.1 Pro

What are common questions about GPT-5.6 Sol?

Is GPT-5.6 Sol cheaper than Claude Sonnet 4.6?

GPT-5.6 Sol costs $8.00/M blended tokens, Claude Sonnet 4.6 costs $6.00/M — Claude Sonnet 4.6 is cheaper.

How much does 1 million tokens cost with GPT-5.6 Sol?

At a 3:1 input:output ratio, 1 million blended tokens costs approximately $8.00. Pure input costs $4.00/M; pure output costs $20.00/M.

What does GPT-5.6 Sol cost at high volume?

At 100 million blended tokens a month, GPT-5.6 Sol costs approximately $800.00. See the cost-at-scale table below for other volumes.

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