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Head-to-head comparison

DeepSeek V4 Pro 0813 vs GPT-5.6 Sol

DeepSeek V4 Pro 0813 (DeepSeek) and GPT-5.6 Sol (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 9 September 2026

As of 9 September 2026, GPT-5.6 Sol holds the stronger ModelCap Index position (#5 vs #20); DeepSeek V4 Pro 0813 is 5.8× cheaper per output token ($1.74/1M vs $10.00/1M); and DeepSeek V4 Pro 0813 ships open weights.

Which should you choose?

Choose DeepSeek V4 Pro 0813 if…

  • API cost matters — $1.74/1M output tokens against $10.00/1M, about 5.8× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.579/1M against $2.00/1M.
  • you want to self-host: DeepSeek V4 Pro 0813 ships open weights while GPT-5.6 Sol is api only.
  • you want provider choice — 19 listed API providers against 3.
  • you want the more recently listed model — DeepSeek V4 Pro 0813 was listed 12 August 2026, GPT-5.6 Sol 9 July 2026.

Choose GPT-5.6 Sol if…

  • you want the stronger overall ModelCap Index position — #5 against #20 (83.0 vs 73.6 points).
  • Arena coding is your yardstick — 1529 against 1505.
  • ARC-AGI-2 is your yardstick — 92.5% against 61.3%.
  • AA Intelligence Index is your yardstick — 47.1 against 36.3.
  • AA Terminal-Bench 2.1 is your yardstick — 88.0% against 78.7%.
  • AA Humanity's Last Exam is your yardstick — 49.5% against 41.0%.

DeepSeek V4 Pro 0813 vs GPT-5.6 Sol: specs, pricing and context

Specification comparison of DeepSeek V4 Pro 0813 and GPT-5.6 Sol
FieldDeepSeek V4 Pro 0813DeepSeekGPT-5.6 SolOpenAI
ModelCap Index position#20#5
Index score73.683.0
EvidenceMeasuredMeasured
Input price / 1M tokens$0.579$2.00
Output price / 1M tokens$1.74$10.00
Context window1M tokens1M tokens
Max output tokens393K128K
API providers listed193
Weight accessOpen weightsAPI only
Input modalitiesTextFile, Image, Text
First listed12 August 20269 July 2026
PublisherDeepSeekOpenAI

Evidence: 4 public benchmark observations across 4 boards · 7 public benchmark observations across 7 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: DeepSeek V4 Pro 0813 vs GPT-5.6 Sol

Public benchmark boards where DeepSeek V4 Pro 0813 or GPT-5.6 Sol has a published result
BoardDeepSeek V4 Pro 0813GPT-5.6 SolLeads
Arena codingArena (LMArena)15051490–1519High15291521–1537X-HighGPT-5.6 Sol
LMArena AgentLMArena—7.7%6.3%–9.2%X-HighOnly one result
ARC-AGI-2ARC Prize Foundation61.3%Max92.5%MaxGPT-5.6 Sol
ARC-AGI-3ARC Prize Foundation—7.8%MaxOnly one result
AA Intelligence IndexArtificial Analysis36.3intelligence-index:v4.3:max47.1intelligence-index:v4.3:maxGPT-5.6 Sol
AA Terminal-Bench 2.1Artificial Analysis78.7%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="DeepSeek V4 Pro 0813 (max)":reasoning=true88.0%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="GPT-5.6 Sol (max)":reasoning=trueGPT-5.6 Sol
AA τ²-Bench TelecomArtificial Analysis—85.1%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="GPT-5.6 Sol (max)":reasoning=trueOnly one result
AA Humanity's Last ExamArtificial Analysis41.0%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="DeepSeek V4 Pro 0813 (max)":reasoning=true49.5%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GPT-5.6 Sol (max)":reasoning=trueGPT-5.6 Sol
Terminal-Bench 4.0Terminal-Bench (Laude Institute)—37.3%33.5%–41.1%Codex · MaxOnly one result
WildClawBench OpenClawWildClawBench—67.2Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

DeepSeek V4 Pro 0813 vs GPT-5.6 Sol: common questions

Is DeepSeek V4 Pro 0813 better than GPT-5.6 Sol?

GPT-5.6 Sol ranks higher on the ModelCap Index as of 9 September 2026: #5 against #20. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is DeepSeek V4 Pro 0813 cheaper than GPT-5.6 Sol?

DeepSeek V4 Pro 0813 is cheaper on output tokens: $1.74/1M against $10.00/1M. Input tokens are $0.579/1M for DeepSeek V4 Pro 0813 and $2.00/1M for GPT-5.6 Sol. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.03 for DeepSeek V4 Pro 0813 versus $9.00 for GPT-5.6 Sol. DeepSeek V4 Pro 0813 costs 77.5% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, DeepSeek V4 Pro 0813 or GPT-5.6 Sol?

Both publish a 1M-token context window.

Which is better for coding, DeepSeek V4 Pro 0813 or GPT-5.6 Sol?

Arena coding: DeepSeek V4 Pro 0813 1505, GPT-5.6 Sol 1529 — GPT-5.6 Sol leads. AA Terminal-Bench 2.1: DeepSeek V4 Pro 0813 78.7%, GPT-5.6 Sol 88.0% — GPT-5.6 Sol leads.

Are DeepSeek V4 Pro 0813 and GPT-5.6 Sol open-weight models?

DeepSeek V4 Pro 0813: Open weights. GPT-5.6 Sol: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run DeepSeek V4 Pro 0813 and GPT-5.6 Sol?

ModelCap currently lists 19 API providers for DeepSeek V4 Pro 0813 and 3 for GPT-5.6 Sol, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this DeepSeek V4 Pro 0813 vs GPT-5.6 Sol comparison?

Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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