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Comparison · 2 models · Updated Oct 4, 2026

DeepSeek V4 Pro 0813 vs GPT-5.6 Luna

GPT-5.6 Luna comes out ahead, 78 to 68 on our weighted score, and it is the cheaper option too.

  1. DeepSeek

    DeepSeek V4 Pro 0813

    Released Aug 12, 2026

    68/100
    • ECI155.4
    • Price$0.66 / $1.98
    • Context1M
    Full specs Remove DeepSeek V4 Pro 0813
  2. Our pick

    OpenAI

    GPT-5.6 Luna

    Released Jul 9, 2026

    78/100
    • ECI156.5
    • Price$0.20 / $1.20
    • Context1.05M
    Full specs Remove GPT-5.6 Luna

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-5.6 Luna is our pick

GPT-5.6 Luna is the better all-round choice, scoring 78/100 against DeepSeek V4 Pro 0813 (68). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.6 LunaCapabilities Index (ECI): GPT-5.6 Luna 156.5 · DeepSeek V4 Pro 0813 155.4
  • Lowest priceGPT-5.6 LunaGPT-5.6 Luna $0.45 · DeepSeek V4 Pro 0813 $0.99 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 LunaGPT-5.6 Luna 1,050,000 · DeepSeek V4 Pro 0813 1,000,000 tokens
  • Widest inputsGPT-5.6 LunaDeepSeek V4 Pro 0813: Text · GPT-5.6 Luna: Text, Images, PDFs
  • Self-hostingDeepSeek V4 Pro 0813Publishes downloadable weights (MIT)
How the score is built
MeasureWeightDeepSeek V4 Pro 0813GPT-5.6 Luna
CapabilityCapabilities Index (ECI)50%8586
Price25%5066
Inputs & features15%4580
Context window10%6061
Overall100%68/10078/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

DeepSeek V4 Pro 0813 vs GPT-5.6 Luna specifications side by side
SpecificationDeepSeek V4 Pro 0813DeepSeekGPT-5.6 LunaOpenAI
Capability
Capabilities Index (ECI)155.4156.5 (best)
ECI rank#26 of 148#21 of 148 (best)
GPQA DiamondGraduate-level science questions91.7% (best)91.6%
FrontierMath Tiers 1–3Research-level mathematics64.6%82.1% (best)
OTIS Mock AIME 2024–2025Competition mathematics98.6% (best)98.3%
SimpleQA VerifiedShort factual questions52.9% (best)41.0%
Price per million tokens
Input$0.66$0.20 (best)
Output$1.98$1.20 (best)
Cached input$0.022$0.02 (best)
Blended (3:1)$0.99$0.45 (best)
Long-context rateSame rateOver 272K: $0.40 / $1.80
Price sourceOfficial DeepSeek APIOfficial OpenAI API
Limits
Context window1,000,000 tokens1,050,000 tokens (best)
Max output384,000 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningYeslow · high · maxYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenMITProprietary
API model IDdeepseek-v4-progpt-5.6-luna
API providers3738 (best)
ReleasedAug 12, 2026Jul 9, 2026
Knowledge cutoff—Feb 16, 2026
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • DeepSeek V4 Pro 0813$10.56
  • GPT-5.6 Luna$4.40
04 — Questions

Which should you choose?

Which is better: DeepSeek V4 Pro 0813 or GPT-5.6 Luna?

GPT-5.6 Luna is the better all-round choice, scoring 78/100 against DeepSeek V4 Pro 0813 (68). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek V4 Pro 0813 or GPT-5.6 Luna?

GPT-5.6 Luna is cheaper at $0.20 input / $1.20 output per million tokens (official OpenAI API price). DeepSeek V4 Pro 0813 costs $0.66 input / $1.98 output per million tokens (official DeepSeek API price). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for GPT-5.6 Luna versus $0.99 for DeepSeek V4 Pro 0813 (2.2× as much).

Which scores higher on benchmarks?

GPT-5.6 Luna scores higher on the Capabilities Index (ECI): GPT-5.6 Luna 156.5 (#21 of 148) and DeepSeek V4 Pro 0813 155.4 (#26 of 148). The confidence ranges of the top two overlap (154.1–158.6 vs 153.7–157.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek V4 Pro 0813 91.7%, GPT-5.6 Luna 91.6%; FrontierMath Tiers 1–3 — GPT-5.6 Luna 82.1%, DeepSeek V4 Pro 0813 64.6%; OTIS Mock AIME 2024–2025 — DeepSeek V4 Pro 0813 98.6%, GPT-5.6 Luna 98.3%; SimpleQA Verified — DeepSeek V4 Pro 0813 52.9%, GPT-5.6 Luna 41.0%.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek V4 Pro 0813 and GPT-5.6 Luna yet, so there is no like-for-like coding score. On overall capability, GPT-5.6 Luna leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

GPT-5.6 Luna has the largest context window at 1,050,000 tokens, against 1,000,000 for DeepSeek V4 Pro 0813. Maximum output per response: DeepSeek V4 Pro 0813 up to 384,000, GPT-5.6 Luna up to 128,000 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V4 Pro 0813 accepts text; GPT-5.6 Luna accepts text, images and PDFs. GPT-5.6 Luna handles the widest range of inputs.

Are any of these open source?

DeepSeek V4 Pro 0813 publishes its weights (MIT) and can be self-hosted; GPT-5.6 Luna is proprietary.

Which is newer?

DeepSeek V4 Pro 0813 is the newest, released Aug 12, 2026. GPT-5.6 Luna came out Jul 9, 2026. Knowledge cutoff: GPT-5.6 Luna Feb 16, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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