Qwen-VL Plus vs Pixtral 12B vs Mistral 7B
Pixtral 12B comes out ahead, 64 to 57 and 47 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)
Qwen-VL Plus
57/100- ECI—
- Price$0.21 / $0.63
- Context131K
- Our pick
Mistral AI
Pixtral 12B
64/100- ECI—
- Price$0.15 / $0.15
- Context128K
Mistral AI
Mistral 7B
47/100- ECI—
- Price$0.25 / $0.25
- Context8K
Pixtral 12B is our pick
Pixtral 12B is the better all-round choice, scoring 64/100 against Qwen-VL Plus (57) and Mistral 7B (47). It leads 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 pricePixtral 12BPixtral 12B $0.15 · Mistral 7B $0.25 · Qwen-VL Plus $0.315 per 1M tokens (3:1 blend)
- Longest contextQwen-VL PlusQwen-VL Plus 131,072 · Pixtral 12B 128,000 · Mistral 7B 8,000 tokens
- Widest inputsQwen-VL Plus and Pixtral 12BQwen-VL Plus: Text, Images · Pixtral 12B: Text, Images · Mistral 7B: Text
- Self-hostingPixtral 12B and Mistral 7BPublishes downloadable weights
| Measure | Weight | Qwen-VL Plus | Pixtral 12B | Mistral 7B |
|---|---|---|---|---|
| Price | 50% | 74 | 89 | 78 |
| Inputs & features | 30% | 50 | 50 | 25 |
| Context window | 20% | 24 | 24 | 0 |
| Overall | 100% | 57/100 | 64/100 | 47/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.21 | $0.15 (best) | $0.25 |
| Output | $0.63 | $0.15 (best) | $0.25 |
| Cached input | — | — | — |
| Blended (3:1) | $0.315 | $0.15 (best) | $0.25 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Mistral API | Official Mistral API |
| Limits | |||
| Context window | 131,072 tokens (best) | 128,000 tokens | 8,000 tokens |
| Max output | 8,192 tokens | 128,000 tokens (best) | 8,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | qwen-vl-plus | pixtral-12b | open-mistral-7b |
| API providers | 2 | 4 (best) | 1 |
| Released | Jan 25, 2024 | Sep 1, 2024 | Sep 27, 2023 |
| Knowledge cutoff | Apr 2024 | Sep 2024 | Dec 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Qwen-VL Plus$3.36
Pixtral 12B$1.80
Mistral 7B$3.00
Which should you choose?
Which is better: Qwen-VL Plus, Pixtral 12B or Mistral 7B?
Pixtral 12B is the better all-round choice, scoring 64/100 against Qwen-VL Plus (57) and Mistral 7B (47). It leads 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, Qwen-VL Plus, Pixtral 12B or Mistral 7B?
Pixtral 12B is cheaper at $0.15 input / $0.15 output per million tokens (official Mistral API price). Mistral 7B costs $0.25 input / $0.25 output per million tokens (official Mistral API price); Qwen-VL Plus costs $0.21 input / $0.63 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Pixtral 12B versus $0.25 for Mistral 7B (1.7× as much) and $0.315 for Qwen-VL Plus (2.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen-VL Plus has not been scored yet, Pixtral 12B has not been scored yet and Mistral 7B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen-VL Plus, Pixtral 12B and Mistral 7B 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?
Qwen-VL Plus has the largest context window at 131,072 tokens, against 128,000 for Pixtral 12B and 8,000 for Mistral 7B. Maximum output per response: Qwen-VL Plus up to 8,192, Pixtral 12B up to 128,000, Mistral 7B up to 8,000 tokens.
Which can read images, PDFs, audio or video?
Qwen-VL Plus accepts text and images; Pixtral 12B accepts text and images; Mistral 7B accepts text. Qwen-VL Plus handles the widest range of inputs.
Are any of these open source?
Pixtral 12B and Mistral 7B publishes its weights and can be self-hosted; Qwen-VL Plus is proprietary.
Which is newer?
Pixtral 12B is the newest, released Sep 1, 2024. Qwen-VL Plus came out Jan 25, 2024; Mistral 7B came out Sep 27, 2023. Knowledge cutoff: Qwen-VL Plus Apr 2024, Pixtral 12B Sep 2024, Mistral 7B Dec 2023.
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.