AI model comparison
Qwen3.8 Flash vs Mistral Small 4
Side by side comparison of Qwen3.8 Flash and Mistral Small 4 on pricing, benchmark scores, context window, and more.
Qwen3.8 Flash is a multimodal reasoning model from Alibaba.
- Input / 1M
- $0.15
- Output / 1M
- $0.47
- Context
- 1M
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 262K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.8 Flash
1.1x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
Qwen3.8 Flash
1M vs 262K tokens
Newer release
Qwen3.8 Flash
Released August 26, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Qwen3.8 Flash vs Mistral Small 4 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.15 |
| Output tokensPer 1M tokens | $0.47 | $0.60 |
| Cached input (read)Per 1M tokens | $0.02 | $0.02 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1M tokens | 262K tokens |
| Max output | 131K tokens | 210K tokens |
| Input types | Image, Text, Video | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, None |
| Default reasoning effort | Not available | High |
| Release date | August 26, 2026 | March 16, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
Qwen3.8 Flash is 1.1x cheaper for a typical chat. Qwen3.8 Flash has the larger context window (1M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.8 Flash or Mistral Small 4 cheaper?
Qwen3.8 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.8 Flash costs $0.15 per 1M input tokens and $0.47 per 1M output tokens, while Mistral Small 4 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, Qwen3.8 Flash or Mistral Small 4?
Qwen3.8 Flash supports up to 1M tokens of context, compared with 262K for Mistral Small 4.
Can I use Qwen3.8 Flash and Mistral Small 4 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 Flash and Mistral Small 4 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 Flash and Mistral Small 4 at the same time. Compare the answers side by side and keep the best one.