Gemini 3 Pro Preview vs GPT-5.2 vs Qwen3.7 Max
Gemini 3 Pro Preview comes out ahead, 67 to 61 and 58 on our weighted score, though Qwen3.7 Max is 17% cheaper per token.
- Our pick
GoogleGemini 3 Pro Preview
67/100- ECI153.0
- Price$2.00 / $12.00
- Context1.05M
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
Gemini 3 Pro Preview is our pick
Gemini 3 Pro Preview is the better all-round choice, scoring 67/100 against GPT-5.2 (61) and Qwen3.7 Max (58). It leads on inputs & features. Qwen3.7 Max wins on price. 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 · Gemini 3 Pro Preview 153.0
- Lowest priceQwen3.7 MaxQwen3.7 Max $3.75 · Gemini 3 Pro Preview $4.50 · GPT-5.2 $4.81 per 1M tokens (3:1 blend)
- Longest contextGemini 3 Pro PreviewGemini 3 Pro Preview 1,048,576 · Qwen3.7 Max 1,000,000 · GPT-5.2 400,000 tokens
- Widest inputsGemini 3 Pro PreviewGemini 3 Pro Preview: Text, Images, PDFs, Audio, Video · GPT-5.2: Text, Images · Qwen3.7 Max: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini 3 Pro Preview | GPT-5.2 | Qwen3.7 Max |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 82 | 83 | 83 |
| Price | 25% | 19 | 18 | 23 |
| Inputs & features | 15% | 100 | 70 | 35 |
| Context window | 10% | 61 | 44 | 60 |
| Overall | 100% | 67/100 | 61/100 | 58/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 3 Pro PreviewGoogle | GPT-5.2OpenAI | Qwen3.7 MaxAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 153.0 | 153.5 | 153.7 (best) |
| ECI rank | #39 of 148 | #38 of 148 | #37 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 92.6% (best) | 91.4% | 90.9% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 67.4% (best) | 64.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 91.4% | 96.1% (best) | 95.6% |
| SWE-bench VerifiedFixing real GitHub issues | 72.9% | 73.8% | 77.3% (best) |
| SimpleQA VerifiedShort factual questions | — | 37.1% | 55.8% (best) |
| Price per million tokens | |||
| Input | $2.00 | $1.75 (best) | $2.50 |
| Output | $12.00 | $14.00 | $7.50 (best) |
| Cached input | — | $0.175 (best) | $0.50 |
| Blended (3:1) | $4.50 | $4.81 | $3.75 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official OpenAI API | Official Alibaba API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 400,000 tokens | 1,000,000 tokens |
| Max output | 65,536 tokens | 128,000 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | gpt-5.2 | qwen3.7-max |
| API providers | 3 | 21 | 26 (best) |
| Released | Nov 18, 2025 | Dec 11, 2025 | May 21, 2026 |
| Knowledge cutoff | Jan 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.
- Gemini 3 Pro Preview$44.00
- GPT-5.2$45.50
- Qwen3.7 Max$40.00
Which should you choose?
Which is better: Gemini 3 Pro Preview, GPT-5.2 or Qwen3.7 Max?
Gemini 3 Pro Preview is the better all-round choice, scoring 67/100 against GPT-5.2 (61) and Qwen3.7 Max (58). It leads on inputs & features. Qwen3.7 Max wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 3 Pro Preview, GPT-5.2 or Qwen3.7 Max?
Qwen3.7 Max is cheaper at $2.50 input / $7.50 output per million tokens (official Alibaba API price). Gemini 3 Pro Preview costs $2.00 input / $12.00 output per million tokens (median across 2 API providers); GPT-5.2 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 Pro Preview (1.2× as much) and $4.81 for GPT-5.2 (1.3× 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 Gemini 3 Pro Preview 153.0 (#39 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 — Gemini 3 Pro Preview 92.6%, GPT-5.2 91.4%, Qwen3.7 Max 90.9%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, Qwen3.7 Max 95.6%, Gemini 3 Pro Preview 91.4%; SWE-bench Verified — Qwen3.7 Max 77.3%, GPT-5.2 73.8%, Gemini 3 Pro Preview 72.9%.
Which is better for coding?
Qwen3.7 Max resolves more real GitHub issues on SWE-bench Verified: Qwen3.7 Max 77.3%, GPT-5.2 73.8% and Gemini 3 Pro Preview 72.9%. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 3 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-5.2. Maximum output per response: Gemini 3 Pro Preview up to 65,536, GPT-5.2 up to 128,000, Qwen3.7 Max up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Gemini 3 Pro Preview accepts text, images, PDFs, audio and video; GPT-5.2 accepts text and images; Qwen3.7 Max accepts text. Gemini 3 Pro Preview handles the widest range of inputs.
Are any of these open source?
No. Gemini 3 Pro Preview, GPT-5.2 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-5.2 came out Dec 11, 2025; Gemini 3 Pro Preview came out Nov 18, 2025. Knowledge cutoff: Gemini 3 Pro Preview Jan 2025, GPT-5.2 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.
