GPT-5.3 Codex vs Qwen3.7 Max vs Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview comes out ahead, 68 to 64 and 58 on our weighted score, though Qwen3.7 Max is 17% cheaper per token.
OpenAIGPT-5.3 Codex
64/100- ECI156.8
- Price$1.75 / $14.00
- Context400K
Alibaba (Qwen)Qwen3.7 Max
58/100- ECI153.7
- Price$2.50 / $7.50
- Context1M
- Our pick
GoogleGemini 3.1 Pro Preview
68/100- ECI154.8
- Price$2.00 / $12.00
- Context1.05M
Gemini 3.1 Pro Preview is our pick
Gemini 3.1 Pro Preview is the better all-round choice, scoring 68/100 against GPT-5.3 Codex (64) and Qwen3.7 Max (58). It leads on inputs & features. GPT-5.3 Codex wins on capability. Qwen3.7 Max wins on price. 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 · Gemini 3.1 Pro Preview 154.8 · Qwen3.7 Max 153.7
- Lowest priceQwen3.7 MaxQwen3.7 Max $3.75 · Gemini 3.1 Pro Preview $4.50 · GPT-5.3 Codex $4.81 per 1M tokens (3:1 blend)
- Longest contextGemini 3.1 Pro PreviewGemini 3.1 Pro Preview 1,048,576 · Qwen3.7 Max 1,000,000 · GPT-5.3 Codex 400,000 tokens
- Widest inputsGemini 3.1 Pro PreviewGPT-5.3 Codex: Text, Images, PDFs · Qwen3.7 Max: Text · Gemini 3.1 Pro Preview: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5.3 Codex | Qwen3.7 Max | Gemini 3.1 Pro Preview |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 87 | 83 | 84 |
| Price | 25% | 18 | 23 | 19 |
| Inputs & features | 15% | 80 | 35 | 100 |
| Context window | 10% | 44 | 60 | 61 |
| Overall | 100% | 64/100 | 58/100 | 68/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.3 CodexOpenAI | Qwen3.7 MaxAlibaba (Qwen) | Gemini 3.1 Pro PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 156.8 (best) | 153.7 | 154.8 |
| ECI rank | #18 of 148 (best) | #37 of 148 | #31 of 148 |
| GPQA DiamondGraduate-level science questions | — | 90.9% | 94.4% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | 64.6% (best) | 59.7% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 95.6% | 95.6% (best) |
| SWE-bench VerifiedFixing real GitHub issues | 74.8% | 77.3% (best) | 75.6% |
| SimpleQA VerifiedShort factual questions | — | 55.8% | 73.5% (best) |
| Price per million tokens | |||
| Input | $1.75 (best) | $2.50 | $2.00 |
| Output | $14.00 | $7.50 (best) | $12.00 |
| Cached input | $0.175 (best) | $0.50 | $0.20 |
| Blended (3:1) | $4.81 | $3.75 (best) | $4.50 |
| Long-context rate | Same rate | Same rate | Over 200K: $4.00 / $18.00 |
| Price source | Official OpenAI API | Official Alibaba API | Official Google API |
| Limits | |||
| Context window | 400,000 tokens | 1,000,000 tokens | 1,048,576 tokens (best) |
| Max output | 128,000 tokens (best) | 65,536 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh | Yes | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-5.3-codex | qwen3.7-max | gemini-3.1-pro-preview |
| API providers | 19 | 26 (best) | 26 (best) |
| Released | Feb 5, 2026 | May 21, 2026 | Feb 19, 2026 |
| Knowledge cutoff | Aug 31, 2025 | — | Jan 2025 |
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
- Gemini 3.1 Pro Preview$44.00
Which should you choose?
Which is better: GPT-5.3 Codex, Qwen3.7 Max or Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview is the better all-round choice, scoring 68/100 against GPT-5.3 Codex (64) and Qwen3.7 Max (58). It leads on inputs & features. GPT-5.3 Codex wins on capability. Qwen3.7 Max wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.3 Codex, Qwen3.7 Max or Gemini 3.1 Pro Preview?
Qwen3.7 Max is cheaper at $2.50 input / $7.50 output per million tokens (official Alibaba API price). Gemini 3.1 Pro Preview costs $2.00 input / $12.00 output per million tokens (official Google 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 $4.50 for Gemini 3.1 Pro Preview (1.2× as much) and $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), Gemini 3.1 Pro Preview 154.8 (#31 of 148) and Qwen3.7 Max 153.7 (#37 of 148). The confidence ranges of the top two overlap (153.5–160.8 vs 152.6–157.3), so treat the gap as small. On individual benchmarks: SWE-bench Verified — Qwen3.7 Max 77.3%, Gemini 3.1 Pro Preview 75.6%, 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%, Gemini 3.1 Pro Preview 75.6% and GPT-5.3 Codex 74.8%. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 3.1 Pro Preview has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.7 Max and 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, Gemini 3.1 Pro Preview 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; Gemini 3.1 Pro Preview accepts text, images, PDFs, audio and video. Gemini 3.1 Pro Preview handles the widest range of inputs.
Are any of these open source?
No. GPT-5.3 Codex, Qwen3.7 Max and Gemini 3.1 Pro Preview are proprietary and only available through APIs and apps.
Which is newer?
Qwen3.7 Max is the newest, released May 21, 2026. Gemini 3.1 Pro Preview came out Feb 19, 2026; GPT-5.3 Codex came out Feb 5, 2026. Knowledge cutoff: GPT-5.3 Codex Aug 31, 2025, Gemini 3.1 Pro Preview Jan 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.
