GPT-5.2 vs Qwen3.7 Max vs Claude Sonnet 4.6
Too close to call on our weighted score (Claude Sonnet 4.6 62, GPT-5.2 61, Qwen3.7 Max 58). The right pick depends on what you value most.
OpenAIGPT-5.2
61/100- ECI153.5
- Price$1.75 / $14.00
- Context400K
Alibaba (Qwen)Qwen3.7 Max
58/100- ECI153.7
- Price$2.50 / $7.50
- Context1M
AnthropicClaude Sonnet 4.6
62/100- ECI152.3
- Price$3.00 / $15.00
- Context1M
Too close to call
It is close. Our weighted score puts them within 1 points (Claude Sonnet 4.6 62/100, GPT-5.2 61/100, Qwen3.7 Max 58/100), so choose by what matters most for your work: Qwen3.7 Max for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3.7 MaxCapabilities Index (ECI): Qwen3.7 Max 153.7 · GPT-5.2 153.5 · Claude Sonnet 4.6 152.3
- Lowest priceQwen3.7 MaxQwen3.7 Max $3.75 · GPT-5.2 $4.81 · Claude Sonnet 4.6 $6.00 per 1M tokens (3:1 blend)
- Longest contextQwen3.7 Max and Claude Sonnet 4.6Qwen3.7 Max 1,000,000 · Claude Sonnet 4.6 1,000,000 · GPT-5.2 400,000 tokens
- Widest inputsClaude Sonnet 4.6GPT-5.2: Text, Images · Qwen3.7 Max: Text · Claude Sonnet 4.6: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5.2 | Qwen3.7 Max | Claude Sonnet 4.6 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 83 | 83 | 81 |
| Price | 25% | 18 | 23 | 13 |
| Inputs & features | 15% | 70 | 35 | 80 |
| Context window | 10% | 44 | 60 | 60 |
| Overall | 100% | 61/100 | 58/100 | 62/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.2OpenAI | Qwen3.7 MaxAlibaba (Qwen) | Claude Sonnet 4.6Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 153.5 | 153.7 (best) | 152.3 |
| ECI rank | #38 of 148 | #37 of 148 (best) | #40 of 148 |
| GPQA DiamondGraduate-level science questions | 91.4% (best) | 90.9% | 87.4% |
| FrontierMath Tiers 1–3Research-level mathematics | 67.4% (best) | 64.6% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 96.1% (best) | 95.6% | 85.8% |
| SWE-bench VerifiedFixing real GitHub issues | 73.8% | 77.3% (best) | 75.2% |
| SimpleQA VerifiedShort factual questions | 37.1% | 55.8% (best) | 35.5% |
| Price per million tokens | |||
| Input | $1.75 (best) | $2.50 | $3.00 |
| Output | $14.00 | $7.50 (best) | $15.00 |
| Cached input | $0.175 (best) | $0.50 | $0.30 |
| Blended (3:1) | $4.81 | $3.75 (best) | $6.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Alibaba API | Official Anthropic API |
| Limits | |||
| Context window | 400,000 tokens | 1,000,000 tokens (best) | 1,000,000 tokens (best) |
| Max output | 128,000 tokens (best) | 65,536 tokens | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high · xhigh | Yes | Yeslow · medium · high · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-5.2 | qwen3.7-max | claude-sonnet-4-6 |
| API providers | 21 | 26 | 41 (best) |
| Released | Dec 11, 2025 | May 21, 2026 | Feb 17, 2026 |
| Knowledge cutoff | Aug 31, 2025 | — | Aug 31, 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-5.2$45.50
- Qwen3.7 Max$40.00
- Claude Sonnet 4.6$60.00
Which should you choose?
Which is better: GPT-5.2, Qwen3.7 Max or Claude Sonnet 4.6?
It is close. Our weighted score puts them within 1 points (Claude Sonnet 4.6 62/100, GPT-5.2 61/100, Qwen3.7 Max 58/100), so choose by what matters most for your work: Qwen3.7 Max for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.2, Qwen3.7 Max or Claude Sonnet 4.6?
Qwen3.7 Max is cheaper at $2.50 input / $7.50 output per million tokens (official Alibaba API price). GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI API price); Claude Sonnet 4.6 costs $3.00 input / $15.00 output per million tokens (official Anthropic 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-5.2 (1.3× as much) and $6.00 for Claude Sonnet 4.6 (1.6× as much).
Which scores higher on benchmarks?
Qwen3.7 Max scores higher on the Capabilities Index (ECI): Qwen3.7 Max 153.7 (#37 of 148), GPT-5.2 153.5 (#38 of 148) and Claude Sonnet 4.6 152.3 (#40 of 148). The confidence ranges of the top two overlap (151.9–156.0 vs 151.7–155.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.2 91.4%, Qwen3.7 Max 90.9%, Claude Sonnet 4.6 87.4%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, Qwen3.7 Max 95.6%, Claude Sonnet 4.6 85.8%; SWE-bench Verified — Qwen3.7 Max 77.3%, Claude Sonnet 4.6 75.2%, GPT-5.2 73.8%; SimpleQA Verified — Qwen3.7 Max 55.8%, GPT-5.2 37.1%, Claude Sonnet 4.6 35.5%.
Which is better for coding?
Qwen3.7 Max resolves more real GitHub issues on SWE-bench Verified: Qwen3.7 Max 77.3%, Claude Sonnet 4.6 75.2% and GPT-5.2 73.8%. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3.7 Max and Claude Sonnet 4.6 have the largest context windows (1,000,000 and 1,000,000 tokens), against 400,000 for GPT-5.2. Maximum output per response: GPT-5.2 up to 128,000, Qwen3.7 Max up to 65,536, Claude Sonnet 4.6 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.2 accepts text and images; Qwen3.7 Max accepts text; Claude Sonnet 4.6 accepts text, images and PDFs. Claude Sonnet 4.6 handles the widest range of inputs.
Are any of these open source?
No. GPT-5.2, Qwen3.7 Max and Claude Sonnet 4.6 are proprietary and only available through APIs and apps.
Which is newer?
Qwen3.7 Max is the newest, released May 21, 2026. Claude Sonnet 4.6 came out Feb 17, 2026; GPT-5.2 came out Dec 11, 2025. Knowledge cutoff: GPT-5.2 Aug 31, 2025, Claude Sonnet 4.6 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.
