Pixtral Large (25.02) vs Qwen Max
Pixtral Large (25.02) comes out ahead, 33 to 22 on our weighted score, though Qwen Max is 7% cheaper per token.
- Our pick
Mistral AIPixtral Large (25.02)
33/100- ECI—
- Price$2.00 / $6.00
- Context128K
Alibaba (Qwen)Qwen Max
22/100- ECI—
- Price$1.60 / $6.40
- Context33K
Add a model
Make it a three-way comparison.
Pixtral Large (25.02) is our pick
Pixtral Large (25.02) is the better all-round choice, scoring 33/100 against Qwen Max (22). It leads on inputs & features and context window. 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 priceQwen MaxQwen Max $2.80 · Pixtral Large (25.02) $3.00 per 1M tokens (3:1 blend)
- Longest contextPixtral Large (25.02)Pixtral Large (25.02) 128,000 · Qwen Max 32,768 tokens
- Widest inputsPixtral Large (25.02)Pixtral Large (25.02): Text, Images · Qwen Max: Text
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Pixtral Large (25.02) | Qwen Max |
|---|---|---|---|
| Price | 50% | 27 | 29 |
| Inputs & features | 30% | 50 | 25 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 33/100 | 22/100 |
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 | Pixtral Large (25.02)Mistral AI | Qwen MaxAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.00 | $1.60 (best) |
| Output | $6.00 (best) | $6.40 |
| Cached input | — | — |
| Blended (3:1) | $3.00 | $2.80 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Official Alibaba API |
| Limits | ||
| Context window | 128,000 tokens (best) | 32,768 tokens |
| Max output | 8,192 tokens | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | qwen-max |
| API providers | 3 | 6 (best) |
| Released | Apr 8, 2025 | Apr 3, 2024 |
| Knowledge cutoff | — | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Pixtral Large (25.02)$32.00
- Qwen Max$28.80
Which should you choose?
Which is better: Pixtral Large (25.02) or Qwen Max?
Pixtral Large (25.02) is the better all-round choice, scoring 33/100 against Qwen Max (22). It leads on inputs & features and context window. 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, Pixtral Large (25.02) or Qwen Max?
Qwen Max is cheaper at $1.60 input / $6.40 output per million tokens (official Alibaba API price). Pixtral Large (25.02) costs $2.00 input / $6.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $2.80 per million tokens for Qwen Max versus $3.00 for Pixtral Large (25.02) (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Pixtral Large (25.02) has not been scored yet and Qwen Max has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Pixtral Large (25.02) and Qwen Max yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Pixtral Large (25.02) has the largest context window at 128,000 tokens, against 32,768 for Qwen Max. Maximum output per response: Pixtral Large (25.02) up to 8,192, Qwen Max up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Pixtral Large (25.02) accepts text and images; Qwen Max accepts text. Pixtral Large (25.02) handles the widest range of inputs.
Are any of these open source?
No. Pixtral Large (25.02) and Qwen Max are proprietary and only available through APIs and apps.
Which is newer?
Pixtral Large (25.02) is the newest, released Apr 8, 2025. Qwen Max came out Apr 3, 2024. Knowledge cutoff: Qwen Max Apr 2024.
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.
Related comparisons
- Add Qwen3-Coder 480B-A35B InstructThree-way comparison
- Pixtral Large (25.02) vs Qwen3-Coder 480B-A35B InstructAlibaba (Qwen)
- Pixtral Large (25.02) vs Sonar Deep ResearchPerplexity
- Pixtral Large (25.02) vs Jamba LargeAI21 Labs
- Pixtral Large (25.02) vs Command ACohere
- Qwen Max vs Sonar Reasoning ProPerplexity
- Qwen Max vs Command R+Cohere
