Qwen3.8 Flash vs Mistral Small 4
Qwen3.8 Flash comes out ahead, 76 to 64 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)
Qwen3.8 Flash
76/100- ECI—
- Price$0.15 / $0.47
- Context1M
Mistral AI
Mistral Small 4
64/100- ECI—
- Price$0.15 / $0.60
- Context256K
Add a model
Make it a three-way comparison.
Qwen3.8 Flash is our pick
Qwen3.8 Flash is the better all-round choice, scoring 76/100 against Mistral Small 4 (64). 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 priceQwen3.8 FlashQwen3.8 Flash $0.23 · Mistral Small 4 $0.263 per 1M tokens (3:1 blend)
- Longest contextQwen3.8 FlashQwen3.8 Flash 1,000,000 · Mistral Small 4 256,000 tokens
- Widest inputsQwen3.8 FlashQwen3.8 Flash: Text, Images, Video · Mistral Small 4: Text, Images
- Self-hostingMistral Small 4Publishes downloadable weights
| Measure | Weight | Qwen3.8 Flash | Mistral Small 4 |
|---|---|---|---|
| Price | 50% | 80 | 77 |
| Inputs & features | 30% | 80 | 60 |
| Context window | 20% | 60 | 36 |
| Overall | 100% | 76/100 | 64/100 |
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 | $0.15 | $0.15 |
| Output | $0.47 (best) | $0.60 |
| Cached input | $0.016 | $0.015 (best) |
| Blended (3:1) | $0.23 (best) | $0.263 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Mistral API |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 256,000 tokens |
| Max output | 131,072 tokens | 256,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yeslow · medium · xhigh | Yeshigh |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | qwen3.8-flash | mistral-small-2603 |
| API providers | 23 (best) | 16 |
| Released | Aug 26, 2026 | Mar 16, 2026 |
| Knowledge cutoff | — | Jun 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Qwen3.8 Flash$2.44
Mistral Small 4$2.70
Which should you choose?
Which is better: Qwen3.8 Flash or Mistral Small 4?
Qwen3.8 Flash is the better all-round choice, scoring 76/100 against Mistral Small 4 (64). 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, Qwen3.8 Flash or Mistral Small 4?
Qwen3.8 Flash is cheaper at $0.15 input / $0.47 output per million tokens (official Alibaba API price). Mistral Small 4 costs $0.15 input / $0.60 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.23 per million tokens for Qwen3.8 Flash versus $0.263 for Mistral Small 4 (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3.8 Flash has not been scored yet and Mistral Small 4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.8 Flash and Mistral Small 4 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?
Qwen3.8 Flash has the largest context window at 1,000,000 tokens, against 256,000 for Mistral Small 4. Maximum output per response: Qwen3.8 Flash up to 131,072, Mistral Small 4 up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3.8 Flash accepts text, images and video; Mistral Small 4 accepts text and images. Qwen3.8 Flash handles the widest range of inputs.
Are any of these open source?
Mistral Small 4 publishes its weights and can be self-hosted; Qwen3.8 Flash is proprietary.
Which is newer?
Qwen3.8 Flash is the newest, released Aug 26, 2026. Mistral Small 4 came out Mar 16, 2026. Knowledge cutoff: Mistral Small 4 Jun 2025.
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.