Mistral 7B vs Qwen Plus vs Qwen-VL Plus
Qwen-VL Plus comes out ahead, 57 to 53 and 47 on our weighted score, though Mistral 7B is 21% cheaper per token.
Mistral AIMistral 7B
47/100- ECI—
- Price$0.25 / $0.25
- Context8K
Alibaba (Qwen)Qwen Plus
53/100- ECI—
- Price$0.40 / $1.20
- Context1M
- Our pickAlibaba (Qwen)
Qwen-VL Plus
57/100- ECI—
- Price$0.21 / $0.63
- Context131K
Qwen-VL Plus is our pick
Qwen-VL Plus is the better all-round choice, scoring 57/100 against Qwen Plus (53) and Mistral 7B (47). It leads on inputs & features. Mistral 7B wins on price. Qwen Plus wins on 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 priceMistral 7BMistral 7B $0.25 · Qwen-VL Plus $0.315 · Qwen Plus $0.60 per 1M tokens (3:1 blend)
- Longest contextQwen PlusQwen Plus 1,000,000 · Qwen-VL Plus 131,072 · Mistral 7B 8,000 tokens
- Widest inputsQwen-VL PlusMistral 7B: Text · Qwen Plus: Text · Qwen-VL Plus: Text, Images
- Self-hostingMistral 7BPublishes downloadable weights
| Measure | Weight | Mistral 7B | Qwen Plus | Qwen-VL Plus |
|---|---|---|---|---|
| Price | 50% | 78 | 60 | 74 |
| Inputs & features | 30% | 25 | 35 | 50 |
| Context window | 20% | 0 | 60 | 24 |
| Overall | 100% | 47/100 | 53/100 | 57/100 |
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 | Mistral 7BMistral AI | Qwen PlusAlibaba (Qwen) | Qwen-VL PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.25 | $0.40 | $0.21 (best) |
| Output | $0.25 (best) | $1.20 | $0.63 |
| Cached input | — | — | — |
| Blended (3:1) | $0.25 (best) | $0.60 | $0.315 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Alibaba API | Official Alibaba API |
| Limits | |||
| Context window | 8,000 tokens | 1,000,000 tokens (best) | 131,072 tokens |
| Max output | 8,000 tokens | 32,768 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | open-mistral-7b | qwen-plus | qwen-vl-plus |
| API providers | 1 | 9 (best) | 2 |
| Released | Sep 27, 2023 | Jan 25, 2024 | Jan 25, 2024 |
| Knowledge cutoff | Dec 2023 | Apr 2024 | 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.
- Mistral 7B$3.00
- Qwen Plus$6.40
- Qwen-VL Plus$3.36
Which should you choose?
Which is better: Mistral 7B, Qwen Plus or Qwen-VL Plus?
Qwen-VL Plus is the better all-round choice, scoring 57/100 against Qwen Plus (53) and Mistral 7B (47). It leads on inputs & features. Mistral 7B wins on price. Qwen Plus wins on 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, Mistral 7B, Qwen Plus or Qwen-VL Plus?
Mistral 7B is cheaper at $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); Qwen Plus costs $0.40 input / $1.20 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Mistral 7B versus $0.315 for Qwen-VL Plus (1.3× as much) and $0.60 for Qwen Plus (2.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Mistral 7B has not been scored yet, Qwen Plus has not been scored yet and Qwen-VL Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral 7B, Qwen Plus and Qwen-VL Plus 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 Plus has the largest context window at 1,000,000 tokens, against 131,072 for Qwen-VL Plus and 8,000 for Mistral 7B. Maximum output per response: Mistral 7B up to 8,000, Qwen Plus up to 32,768, Qwen-VL Plus up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Mistral 7B accepts text; Qwen Plus accepts text; Qwen-VL Plus accepts text and images. Qwen-VL Plus handles the widest range of inputs.
Are any of these open source?
Mistral 7B publishes its weights and can be self-hosted; Qwen Plus and Qwen-VL Plus is proprietary.
Which is newer?
Qwen Plus is the newest, released Jan 25, 2024. Qwen-VL Plus came out Jan 25, 2024; Mistral 7B came out Sep 27, 2023. Knowledge cutoff: Mistral 7B Dec 2023, Qwen Plus Apr 2024, Qwen-VL Plus 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.
