Gemini 3 Pro Preview vs Qwen3.8 Max Preview vs GPT-5.2
Gemini 3 Pro Preview comes out ahead, 52 to 47 and 39 on our weighted score, though Qwen3.8 Max Preview is 33% cheaper per token.
- Our pick
GoogleGemini 3 Pro Preview
52/100- ECI153.0
- Price$2.00 / $12.00
- Context1.05M
Alibaba (Qwen)Qwen3.8 Max Preview
47/100- ECI—
- Price$2.00 / $6.00
- Context1M
OpenAIGPT-5.2
39/100- ECI153.5
- Price$1.75 / $14.00
- Context400K
Gemini 3 Pro Preview is our pick
Gemini 3 Pro Preview is the better all-round choice, scoring 52/100 against Qwen3.8 Max Preview (47) and GPT-5.2 (39). It leads on inputs & features. Qwen3.8 Max Preview wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceQwen3.8 Max PreviewQwen3.8 Max Preview $3.00 · 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 · Qwen3.8 Max Preview 1,000,000 · GPT-5.2 400,000 tokens
- Widest inputsGemini 3 Pro PreviewGemini 3 Pro Preview: Text, Images, PDFs, Audio, Video · Qwen3.8 Max Preview: Text, Images, Video · GPT-5.2: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini 3 Pro Preview | Qwen3.8 Max Preview | GPT-5.2 |
|---|---|---|---|---|
| Price | 50% | 19 | 27 | 18 |
| Inputs & features | 30% | 100 | 70 | 70 |
| Context window | 20% | 61 | 60 | 44 |
| Overall | 100% | 52/100 | 47/100 | 39/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 3 Pro PreviewGoogle | Qwen3.8 Max PreviewAlibaba (Qwen) | GPT-5.2OpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 153.0 | — | 153.5 (best) |
| ECI rank | #39 of 148 | — | #38 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 92.6% (best) | — | 91.4% |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 67.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | 91.4% | — | 96.1% (best) |
| SWE-bench VerifiedFixing real GitHub issues | 72.9% | — | 73.8% (best) |
| SimpleQA VerifiedShort factual questions | — | — | 37.1% |
| Price per million tokens | |||
| Input | $2.00 | $2.00 | $1.75 (best) |
| Output | $12.00 | $6.00 (best) | $14.00 |
| Cached input | — | — | $0.175 |
| Blended (3:1) | $4.50 | $3.00 (best) | $4.81 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 6 providers | Official OpenAI API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,000,000 tokens | 400,000 tokens |
| Max output | 65,536 tokens | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yes | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | — | gpt-5.2 |
| API providers | 3 | 6 | 21 (best) |
| Released | Nov 18, 2025 | Jul 19, 2026 | Dec 11, 2025 |
| 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
- Qwen3.8 Max Preview$32.00
- GPT-5.2$45.50
Which should you choose?
Which is better: Gemini 3 Pro Preview, Qwen3.8 Max Preview or GPT-5.2?
Gemini 3 Pro Preview is the better all-round choice, scoring 52/100 against Qwen3.8 Max Preview (47) and GPT-5.2 (39). It leads on inputs & features. Qwen3.8 Max Preview wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemini 3 Pro Preview, Qwen3.8 Max Preview or GPT-5.2?
Qwen3.8 Max Preview is cheaper at $2.00 input / $6.00 output per million tokens (median across 6 API providers). 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 $3.00 per million tokens for Qwen3.8 Max Preview versus $4.50 for Gemini 3 Pro Preview (1.5× as much) and $4.81 for GPT-5.2 (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 3 Pro Preview has an ECI of 153.0, Qwen3.8 Max Preview has not been scored yet and GPT-5.2 has an ECI of 153.5.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.8 Max Preview yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. 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 Qwen3.8 Max Preview and 400,000 for GPT-5.2. Maximum output per response: Gemini 3 Pro Preview up to 65,536, Qwen3.8 Max Preview up to 131,072, GPT-5.2 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Gemini 3 Pro Preview accepts text, images, PDFs, audio and video; Qwen3.8 Max Preview accepts text, images and video; GPT-5.2 accepts text and images. Gemini 3 Pro Preview handles the widest range of inputs.
Are any of these open source?
No. Gemini 3 Pro Preview, Qwen3.8 Max Preview and GPT-5.2 are proprietary and only available through APIs and apps.
Which is newer?
Qwen3.8 Max Preview is the newest, released Jul 19, 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.
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