Mistral Large 3 vs Qwen-MT Plus
Mistral Large 3 comes out ahead, 50 to 12 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AIMistral Large 3
50/100- ECI—
- Price$0.50 / $1.50
- Context262K
Alibaba (Qwen)Qwen-MT Plus
12/100- ECI—
- Price$2.46 / $7.37
- Context16K
Add a model
Make it a three-way comparison.
Mistral Large 3 is our pick
Mistral Large 3 is the better all-round choice, scoring 50/100 against Qwen-MT Plus (12). It leads on price, 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 priceMistral Large 3Mistral Large 3 $0.75 · Qwen-MT Plus $3.69 per 1M tokens (3:1 blend)
- Longest contextMistral Large 3Mistral Large 3 262,144 · Qwen-MT Plus 16,384 tokens
- Widest inputsMistral Large 3Mistral Large 3: Text, Images · Qwen-MT Plus: Text
- Self-hostingMistral Large 3Publishes downloadable weights
| Measure | Weight | Mistral Large 3 | Qwen-MT Plus |
|---|---|---|---|
| Price | 50% | 56 | 23 |
| Inputs & features | 30% | 50 | 0 |
| Context window | 20% | 37 | 0 |
| Overall | 100% | 50/100 | 12/100 |
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 Large 3Mistral AI | Qwen-MT PlusAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.50 (best) | $2.46 |
| Output | $1.50 (best) | $7.37 |
| Cached input | $0.05 | — |
| Blended (3:1) | $0.75 (best) | $3.69 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Alibaba API |
| Limits | ||
| Context window | 262,144 tokens (best) | 16,384 tokens |
| Max output | 262,144 tokens (best) | 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 | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | mistral-large-2512 | qwen-mt-plus |
| API providers | 13 (best) | 1 |
| Released | Dec 2, 2025 | Jan 2025 |
| Knowledge cutoff | Nov 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 Large 3$8.00
- Qwen-MT Plus$39.34
Which should you choose?
Which is better: Mistral Large 3 or Qwen-MT Plus?
Mistral Large 3 is the better all-round choice, scoring 50/100 against Qwen-MT Plus (12). It leads on price, 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, Mistral Large 3 or Qwen-MT Plus?
Mistral Large 3 is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). Qwen-MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large 3 versus $3.69 for Qwen-MT Plus (4.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Large 3 has not been scored yet and Qwen-MT Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 3 and Qwen-MT Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-MT Plus does not support tool calling, which most coding agents need.
Which has the bigger context window?
Mistral Large 3 has the largest context window at 262,144 tokens, against 16,384 for Qwen-MT Plus. Maximum output per response: Mistral Large 3 up to 262,144, Qwen-MT Plus up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 3 accepts text and images; Qwen-MT Plus accepts text. Mistral Large 3 handles the widest range of inputs.
Are any of these open source?
Mistral Large 3 publishes its weights and can be self-hosted; Qwen-MT Plus is proprietary.
Which is newer?
Mistral Large 3 is the newest, released Dec 2, 2025. Qwen-MT Plus came out Jan 2025. Knowledge cutoff: Mistral Large 3 Nov 2024, Qwen-MT 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.
