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Compare DeepSeek V4 Pro and GPT-5.6 Sol for reasoning workflows

DeepSeek V4 Pro vs GPT-5.6 Sol: which should I use?

Compare DeepSeek V4 Pro and GPT-5.6 Sol by evaluating vision requirements (Sol supported, DeepSeek text-only), output headroom (DeepSeek 384K vs Sol 128K), and calculating whether Sol’s quality uplift offsets its higher token pricing. Verified 2026-09-07.

Verified 2026-09-07

Which tasks fit DeepSeek V4 Pro and GPT-5.6 Sol?

Best-fit task signals from the published model strengths; this is not a substitute for a controlled benchmark.

FactDeepSeek V4 ProGPT-5.6 Sol
Best fitRigorous math, proofs, and hard algorithmic problems on a budget.Complex, multi-step professional and coding work where accuracy matters more than cost.
Reasoning modeAvailableAvailable

What does a Coding Agent workload cost with DeepSeek V4 Pro and GPT-5.6 Sol?

Modeled for Coding Agent: 20,000 input + 2,000 output tokens per task, 1 turn. This is a workload model, not a provider quote.

FactDeepSeek V4 ProGPT-5.6 Sol
Coding Agent / task$0.03 (modeled) (winner)$0.12 (modeled)
Input / output rate$1.32 / $3.96 per M$4.00 / $20.00 per M

How fast are DeepSeek V4 Pro and GPT-5.6 Sol?

Only non-estimated benchmark results are shown as measured.

FactDeepSeek V4 ProGPT-5.6 Sol
Measured throughput68 tokens/s (winner)44 tokens/s
Time to first token480 ms560 ms

How compatible are DeepSeek V4 Pro and GPT-5.6 Sol with APIs?

Provider-level wire-format and SDK facts; model-specific parameter differences may still apply.

FactDeepSeek V4 ProGPT-5.6 Sol
OpenAI SDKUsableUsable
Request shapeOpenAI-compatible chat/completions; set model to a deepseek-* id and point base_url at api.deepseek.com.Canonical /chat/completions and /responses shape — every OpenAI-compatible provider on this site imitates it.
StreamingSSE (OpenAI delta)SSE (OpenAI delta)

What are the privacy and retention policies for DeepSeek V4 Pro and GPT-5.6 Sol?

Provider policy and residency facts from the verified provider registry. A missing retention policy is not treated as a guarantee.

FactDeepSeek V4 ProGPT-5.6 Sol
Provider says API data trains modelsUnavailableNo
Published retention periodUnavailableUnavailable
Data residencyUnavailableUS by default; EU data residency available on enterprise agreements

How much effort does it take to migrate between DeepSeek V4 Pro and GPT-5.6 Sol?

Direction is from each displayed model to the other. Effort is derived from provider compatibility and published parameter maps.

FactDeepSeek V4 ProGPT-5.6 Sol
Move DeepSeek V4 Pro → GPT-5.6 Solconfig; 0 breaking parameter differencesTarget: GPT-5.6 Sol
Move GPT-5.6 Sol → DeepSeek V4 ProSource: GPT-5.6 Solconfig; 5 breaking parameter differences
WhyKeep the `openai` SDK; change `baseURL` and the API key.Keep the `openai` SDK; change `baseURL` and the API key.

DeepSeek V4 Pro vs GPT-5.6 Sol equal-1M-context workload gate

Formula: eligibility = input ≤ contextWindow AND output ≤ maxOutput AND requested modality is supported; cost comparison happens after this gate.

RequirementDeepSeek V4 ProGPT-5.6 Sol
1M text / 128K outputEligible; context 1,000,000; max output 384,000; cost $1.826880Eligible; context 1,000,000; max output 128,000; cost $6.560000
1M text / 384K outputEligible; context 1,000,000; max output 384,000; cost $2.840640Excluded; context 1,000,000; max output 128,000; cost Unavailable
VisionUnavailableEligible

Verified 2026-08-14. Pricing provenance: DeepSeek V4 Pro pricing (2026-08-14); GPT-5.6 Sol pricing (2026-08-14). Capability: DeepSeek V4 Pro; GPT-5.6 Sol. Provider: DeepSeek; OpenAI. Missing evidence is Unavailable, never inferred.

DeepSeek V4 Pro vs GPT-5.6 Sol accepted-result and defect-loss crossover

Formula: accepted-result cost = base bill × (1 + retry penalty); break-even defect loss = price delta ÷ user-supplied success uplift. Neither probability is assigned.

WorkloadDeepSeek V4 ProGPT-5.6 Sol
Coding: 50K in / 8K out$0.097680; retry rA user$0.360000; retry rB user
Reasoning: 100K in / 16K out$0.195360$0.720000
CrossoverΔprice ÷ user upliftΔprice ÷ retry penalty
Matched evidence82/100; 64 in / 207 out; 2336 ms; $0.000208; run 2026-06-16T20:31:30.728Z; premium UnavailableUnavailable; premium Unavailable

Verified 2026-08-14. Pricing provenance: DeepSeek V4 Pro pricing (2026-08-14); GPT-5.6 Sol pricing (2026-08-14). Capability: DeepSeek V4 Pro; GPT-5.6 Sol. Provider: DeepSeek; OpenAI. Missing evidence is Unavailable, never inferred.

DeepSeek V4 Pro vs GPT-5.6 Sol matched canary design

Formula: duplicate-run cost = staged traffic × [bill(DeepSeek) + bill(Sol)]; exact staged costs are rendered for 1%, 5%, 10%, and 25% traffic.

StageDeepSeek costSol costDuplicate total
1%$0.000977$0.003600$0.004577
5%$0.004884$0.018000$0.022884
10%$0.009768$0.036000$0.045768
25%$0.024420$0.090000$0.114420
Canary fieldDeepSeek V4 ProGPT-5.6 Sol
Measured speed / TTFT68 tokens/s; TTFT 480 ms; p95 62.56 tokens/s; n=544 tokens/s; TTFT 560 ms; p95 35.64 tokens/s; n=5
Cheap-test observation82/100; 64 in / 207 out; 2336 ms; $0.000208; run 2026-06-16T20:31:30.728ZUnavailable
Premium task runUnavailableUnavailable
Promotion / rollbackMatched prompt uplift and defect-loss threshold requiredMatched prompt uplift and defect-loss threshold required

Verified 2026-08-14. Pricing provenance: DeepSeek V4 Pro pricing (2026-08-14); GPT-5.6 Sol pricing (2026-08-14). Capability: DeepSeek V4 Pro; GPT-5.6 Sol. Provider: DeepSeek; OpenAI. Missing evidence is Unavailable, never inferred.

Batch 60 · exact-pair decision contributions · verified 2026-09-07

Exact pair boundary: DeepSeek / OpenAI; model endpoint, 1M context parity, 384K vs 128K max output, vision requirement, and defect loss must join. Requested models are deepseek-v4-pro and gpt-5.6-sol. Provider, rate, pricing, and task pages remain fact owners.

Equal-1M-context workload gate and output envelope

Frozen Batch 60 scenario board. Formula / deterministic rule: eligible = (vision_needed ? Sol : Both) && (output <= 128K ? Both : (output <= 384K ? DeepSeek : Excluded)) Boundary: Owns capability gating for 1M context tasks.

Frozen scenario / field IDPair, identity, host, surface, and evidence fieldsResultState
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m1-r1
text reasoning (250K input, 32K output)
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=text reasoning (250K input, 32K output); task type; input tokens; output tokens; vision required; DeepSeek fit; Sol fit; workload gate decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — text reasoning (250K input, 32K output) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m1-r2
large extraction (500K input, 64K output)
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=large extraction (500K input, 64K output); task type; input tokens; output tokens; vision required; DeepSeek fit; Sol fit; workload gate decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — large extraction (500K input, 64K output) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m1-r3
extreme generation (100K input, 200K output)
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=extreme generation (100K input, 200K output); task type; input tokens; output tokens; vision required; DeepSeek fit; Sol fit; workload gate decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — extreme generation (100K input, 200K output) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m1-r4
vision analysis (100K input, 16K output)
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=vision analysis (100K input, 16K output); task type; input tokens; output tokens; vision required; DeepSeek fit; Sol fit; workload gate decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — vision analysis (100K input, 16K output) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m1-r5
1M maximum context analysis
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=1M maximum context analysis; task type; input tokens; output tokens; vision required; DeepSeek fit; Sol fit; workload gate decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 1M maximum context analysis is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m1-r6
unsupported context request
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=unsupported context request; task type; input tokens; output tokens; vision required; DeepSeek fit; Sol fit; workload gate decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — unsupported context request 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.

Accepted-result and defect-loss crossover model

Frozen Batch 60 scenario board. Formula / deterministic rule: sol_economic = defect_loss_saved > token_cost_difference; defect loss is user-defined input Boundary: Owns accuracy-versus-cost trade-off modeling without inventing probabilities.

Frozen scenario / field IDPair, identity, host, surface, and evidence fieldsResultState
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m2-r1
zero defect cost (raw cost comparison)
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=zero defect cost (raw cost comparison); scenario; DeepSeek 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
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m2-r2
low defect penalty ($5 per defect)
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=low defect penalty ($5 per defect); scenario; DeepSeek 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
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m2-r3
medium defect penalty ($25 per defect)
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=medium defect penalty ($25 per defect); scenario; DeepSeek 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
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m2-r4
critical production bug ($100 penalty)
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=critical production bug ($100 penalty); scenario; DeepSeek 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
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m2-r5
10% DeepSeek retry scenario
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=10% DeepSeek retry scenario; scenario; DeepSeek 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% DeepSeek retry scenario is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m2-r6
unresolved defect valuation
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=unresolved defect valuation; scenario; DeepSeek 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 API pricing; verification date 2026-09-07. Missing or conflicting joins fail closed.

Matched canary design and rollout matrix

Frozen Batch 60 scenario board. Formula / deterministic rule: canary_stage = traffic_pct <= max_risk_budget && error_rate <= rollback_threshold Boundary: Owns phased canary migration between DeepSeek and Sol.

Frozen scenario / field IDPair, identity, host, surface, and evidence fieldsResultState
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m3-r1
1% exploratory validation
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=1% exploratory validation; traffic share; sample size; dual-call spend; error threshold; promotion gate; canary status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 1% exploratory validation is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m3-r2
5% early production canary
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=5% early production canary; traffic share; sample size; dual-call spend; error threshold; promotion gate; canary status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 5% early production canary is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m3-r3
10% dual-routed validation
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=10% dual-routed validation; traffic share; sample size; dual-call spend; error threshold; promotion gate; canary status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 10% dual-routed validation is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m3-r4
25% pre-cutover verification
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=25% pre-cutover verification; traffic share; sample size; dual-call spend; error threshold; promotion gate; canary status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 25% pre-cutover verification is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m3-r5
100% full production traffic
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=100% full production traffic; traffic share; sample size; dual-call spend; error threshold; promotion gate; canary status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 100% full production traffic is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch60-deepseek-v4-pro-vs-gpt-5-6-sol-m3-r6
rollback triggered
pair=deepseek-v4-pro vs gpt-5.6-sol; provider=DeepSeek / OpenAI; hostA=api.deepseek.com; hostB=api.openai.com; surfaceA=DeepSeek API; surfaceB=Responses API; requested/effective IDs=deepseek-v4-pro,gpt-5.6-sol; scenario=rollback triggered; traffic share; sample size; dual-call spend; error threshold; promotion gate; canary status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — rollback triggered is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict

First-party provenance: OpenAI rate limits; 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 deepseek-v4-pro-vs-gpt-5-6-sol Batch 60 scenario →

How do DeepSeek V4 Pro and GPT-5.6 Sol compare on specs?

DeepSeek V4 ProGPT-5.6 Sol
Price (input)$1.32/M$4.00/M
Price (output)$3.96/M$20.00/M
Blended price$1.98/M$8.00/M
Context window1,000,000 tokens1,000,000 tokens
Max output384,000 tokens128,000 tokens
Modalitiestexttext, vision
Reasoning modeYesYes
Released2026-052026-06
Speed68 t/s44 t/s

How much do DeepSeek V4 Pro and GPT-5.6 Sol cost at scale?

Tokens / monthDeepSeek V4 ProGPT-5.6 SolDelta
1,000,000$1.98$8.00$6.02 (4.0×)
10,000,000$19.80$80.00$60.20 (4.0×)
100,000,000$198.00$800.00$602.00 (4.0×)

Choose DeepSeek V4 Pro if…

  • Thinking mode with visible chain-of-thought
  • Frontier-level math and competition coding
  • Still far cheaper than closed frontier models
  • Rigorous math, proofs, and hard algorithmic problems on a budget.

Choose GPT-5.6 Sol if…

  • Strongest OpenAI model for agentic, long-horizon coding
  • Deep reasoning mode for multi-step planning
  • Native vision input and 1M context
  • Complex, multi-step professional and coding work where accuracy matters more than cost.

Run this exact matchup right now

Send the same prompt to DeepSeek V4 Pro and GPT-5.6 Sol side by side and see the outputs yourself.

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What are common questions about DeepSeek V4 Pro and GPT-5.6 Sol?

Is DeepSeek V4 Pro cheaper than GPT-5.6 Sol?

DeepSeek V4 Pro is cheaper, at $1.98 per million blended tokens vs $8.00 for GPT-5.6 Sol.

Which has the bigger context window, DeepSeek V4 Pro or GPT-5.6 Sol?

Both models support 1,000,000 tokens of context.

Can DeepSeek V4 Pro replace GPT-5.6 Sol for coding?

Both are viable for coding. Thinking mode with visible chain-of-thought (DeepSeek V4 Pro) vs Strongest OpenAI model for agentic, long-horizon coding (GPT-5.6 Sol) — pick based on which strength matters more for your workload.

Which is faster, DeepSeek V4 Pro or GPT-5.6 Sol?

DeepSeek V4 Pro is faster: 68 t/s vs 44 t/s, measured on our speed benchmarks.

Neither of these? See DeepSeek V4 Pro alternatives or GPT-5.6 Sol alternatives.

What related comparisons help choose between DeepSeek V4 Pro and GPT-5.6 Sol?

DeepSeek V4 Pro pricingGPT-5.6 Sol pricingvs Claude Opus 4.8vs Claude Sonnet 5vs Gemini 3.1 Provs Gemini 3.7 FlashPremium model tests

Pricing verified 2026-08-14. Specs verified 2026-08-14.