Qwen3-VL Plus vs Mistral Large 3
Qwen3-VL Plus comes out ahead, 56 to 50 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)Qwen3-VL Plus
56/100- ECI—
- Price$0.20 / $1.60
- Context262K
Mistral AIMistral Large 3
50/100- ECI—
- Price$0.50 / $1.50
- Context262K
Add a model
Make it a three-way comparison.
Qwen3-VL Plus is our pick
Qwen3-VL Plus is the better all-round choice, scoring 56/100 against Mistral Large 3 (50). It leads on price and inputs & features. 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-VL PlusQwen3-VL Plus $0.55 · Mistral Large 3 $0.75 per 1M tokens (3:1 blend)
- Longest contextAbout the sameQwen3-VL Plus 262,144 · Mistral Large 3 262,144 tokens
- Widest inputsSame inputsQwen3-VL Plus: Text, Images · Mistral Large 3: Text, Images
- Self-hostingMistral Large 3Publishes downloadable weights
| Measure | Weight | Qwen3-VL Plus | Mistral Large 3 |
|---|---|---|---|
| Price | 50% | 62 | 56 |
| Inputs & features | 30% | 60 | 50 |
| Context window | 20% | 37 | 37 |
| Overall | 100% | 56/100 | 50/100 |
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 | Qwen3-VL PlusAlibaba (Qwen) | Mistral Large 3Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.20 (best) | $0.50 |
| Output | $1.60 | $1.50 (best) |
| Cached input | — | $0.05 |
| Blended (3:1) | $0.55 (best) | $0.75 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Mistral API |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 32,768 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | qwen3-vl-plus | mistral-large-2512 |
| API providers | 6 | 13 (best) |
| Released | Sep 23, 2025 | Dec 2, 2025 |
| Knowledge cutoff | Apr 2025 | Nov 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen3-VL Plus$5.20
- Mistral Large 3$8.00
Which should you choose?
Which is better: Qwen3-VL Plus or Mistral Large 3?
Qwen3-VL Plus is the better all-round choice, scoring 56/100 against Mistral Large 3 (50). It leads on price and inputs & features. 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, Qwen3-VL Plus or Mistral Large 3?
Qwen3-VL Plus is cheaper at $0.20 input / $1.60 output per million tokens (official Alibaba API price). Mistral Large 3 costs $0.50 input / $1.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.55 per million tokens for Qwen3-VL Plus versus $0.75 for Mistral Large 3 (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3-VL Plus has not been scored yet and Mistral Large 3 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3-VL Plus and Mistral Large 3 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?
Qwen3-VL Plus and Mistral Large 3 share the same 262,144-token context window. Maximum output per response: Qwen3-VL Plus up to 32,768, Mistral Large 3 up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Qwen3-VL Plus accepts text and images; Mistral Large 3 accepts text and images. They handle the same number of input types.
Are any of these open source?
Mistral Large 3 publishes its weights and can be self-hosted; Qwen3-VL Plus is proprietary.
Which is newer?
Mistral Large 3 is the newest, released Dec 2, 2025. Qwen3-VL Plus came out Sep 23, 2025. Knowledge cutoff: Qwen3-VL Plus Apr 2025, Mistral Large 3 Nov 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.
