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Comparison · 2 models · Updated Oct 4, 2026

GPT-5.3 Codex vs Qwen3.7 Max

GPT-5.3 Codex comes out ahead, 64 to 58 on our weighted score, though Qwen3.7 Max is 22% cheaper per token.

  1. Our pick

    OpenAI

    GPT-5.3 Codex

    Released Feb 5, 2026

    64/100
    • ECI156.8
    • Price$1.75 / $14.00
    • Context400K
    Full specs Remove GPT-5.3 Codex

  2. Alibaba (Qwen)

    Qwen3.7 Max

    Released May 21, 2026

    58/100
    • ECI153.7
    • Price$2.50 / $7.50
    • Context1M
    Full specs Remove Qwen3.7 Max

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-5.3 Codex is our pick

GPT-5.3 Codex is the better all-round choice, scoring 64/100 against Qwen3.7 Max (58). It leads on capability and inputs & features. Qwen3.7 Max wins on price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.3 CodexCapabilities Index (ECI): GPT-5.3 Codex 156.8 · Qwen3.7 Max 153.7
  • Lowest priceQwen3.7 MaxQwen3.7 Max $3.75 · GPT-5.3 Codex $4.81 per 1M tokens (3:1 blend)
  • Longest contextQwen3.7 MaxQwen3.7 Max 1,000,000 · GPT-5.3 Codex 400,000 tokens
  • Widest inputsGPT-5.3 CodexGPT-5.3 Codex: Text, Images, PDFs · Qwen3.7 Max: Text
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-5.3 CodexQwen3.7 Max
CapabilityCapabilities Index (ECI)50%8783
Price25%1823
Inputs & features15%8035
Context window10%4460
Overall100%64/10058/100
02 — Side by side

Every spec in one table

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

GPT-5.3 Codex vs Qwen3.7 Max specifications side by side
SpecificationGPT-5.3 CodexOpenAIQwen3.7 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)156.8 (best)153.7
ECI rank#18 of 148 (best)#37 of 148
GPQA DiamondGraduate-level science questions—90.9%
FrontierMath Tiers 1–3Research-level mathematics—64.6%
OTIS Mock AIME 2024–2025Competition mathematics—95.6%
SWE-bench VerifiedFixing real GitHub issues74.8%77.3% (best)
SimpleQA VerifiedShort factual questions—55.8%
Price per million tokens
Input$1.75 (best)$2.50
Output$14.00$7.50 (best)
Cached input$0.175 (best)$0.50
Blended (3:1)$4.81$3.75 (best)
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Alibaba API
Limits
Context window400,000 tokens1,000,000 tokens (best)
Max output128,000 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · high · xhighYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryProprietary
API model IDgpt-5.3-codexqwen3.7-max
API providers1926 (best)
ReleasedFeb 5, 2026May 21, 2026
Knowledge cutoffAug 31, 2025—
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.

  • GPT-5.3 Codex$45.50
  • Qwen3.7 Max$40.00
04 — Questions

Which should you choose?

Which is better: GPT-5.3 Codex or Qwen3.7 Max?

GPT-5.3 Codex is the better all-round choice, scoring 64/100 against Qwen3.7 Max (58). It leads on capability and inputs & features. Qwen3.7 Max wins on price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.3 Codex or Qwen3.7 Max?

Qwen3.7 Max is cheaper at $2.50 input / $7.50 output per million tokens (official Alibaba API price). GPT-5.3 Codex costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.75 per million tokens for Qwen3.7 Max versus $4.81 for GPT-5.3 Codex (1.3× as much).

Which scores higher on benchmarks?

GPT-5.3 Codex scores higher on the Capabilities Index (ECI): GPT-5.3 Codex 156.8 (#18 of 148) and Qwen3.7 Max 153.7 (#37 of 148). The confidence ranges of the top two overlap (153.5–160.8 vs 151.9–156.0), so treat the gap as small. On individual benchmarks: SWE-bench Verified — Qwen3.7 Max 77.3%, GPT-5.3 Codex 74.8%.

Which is better for coding?

Qwen3.7 Max resolves more real GitHub issues on SWE-bench Verified: Qwen3.7 Max 77.3% and GPT-5.3 Codex 74.8%. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen3.7 Max has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.3 Codex. Maximum output per response: GPT-5.3 Codex up to 128,000, Qwen3.7 Max up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GPT-5.3 Codex accepts text, images and PDFs; Qwen3.7 Max accepts text. GPT-5.3 Codex handles the widest range of inputs.

Are any of these open source?

No. GPT-5.3 Codex and Qwen3.7 Max are proprietary and only available through APIs and apps.

Which is newer?

Qwen3.7 Max is the newest, released May 21, 2026. GPT-5.3 Codex came out Feb 5, 2026. Knowledge cutoff: GPT-5.3 Codex Aug 31, 2025.

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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