AI model comparison
Qwen3.7 Flash vs Mistral Nemo
Side by side comparison of Qwen3.7 Flash and Mistral Nemo on pricing, benchmark scores, context window, and more.
Qwen3.7 Flash is a vision-language reasoning model from Alibaba.
- Input / 1M
- $0.03
- Output / 1M
- $0.13
- Context
- 1M
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.
- Input / 1M
- $0.03
- Output / 1M
- $0.03
- Context
- 131K
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
Mistral Nemo
1.7x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
Qwen3.7 Flash
1M vs 131K tokens
Newer release
Qwen3.7 Flash
Released July 27, 2026
Pricing
Qwen3.7 Flash vs Mistral Nemo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Flash | Mistral Nemo |
|---|---|---|
| Input tokensPer 1M tokens | $0.03 | $0.03 |
| Output tokensPer 1M tokens | $0.13 | $0.03 |
| Cached input (read)Per 1M tokens | $0.01 | Not available |
| Cache writePer 1M tokens | $0.04 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.10 in / $0.40 out above 32K | Same rate at any length |
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
Qwen3.7 Flash$0.13Mistral Nemo$0.07Coding task
30K in, 4K out
Qwen3.7 Flash$1.42$0.70 cachedMistral Nemo$0.99Long document summary
150K in, 2K out
Qwen3.7 Flash$4.76$1.16 cachedMistral Nemo$4.41Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.7 Flash | Mistral Nemo |
|---|---|---|
| Context window | 1M tokens | 131K tokens |
| Max output | 66K tokens | 16K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | July 27, 2026 | July 19, 2024 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.7 Flash | Mistral Nemo |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.7 FlashView full model details- Qwen3.7 Flash vs DeepSeek V4.1 Flash 1017
- Qwen3.7 Flash vs DeepSeek V4.1 Flash
- Qwen3.7 Flash vs GLM 5.3 Flash
- Qwen3.7 Flash vs GPT-6 Luna
- Qwen3.7 Flash vs MiMo-V2.6-Flash
- Qwen3.7 Flash vs DeepSeek V4 Flash 0731
- Qwen3.7 Flash vs DeepSeek V4 Flash 0423
- Qwen3.7 Flash vs Muse Spark 1.3 Contributor
- Qwen3.7 Flash vs Solar Mini 4
- Qwen3.7 Flash vs Qwen3.8 Flash
- Qwen3.7 Flash vs gpt-oss-20b
Mistral NemoView full model details- Mistral Nemo vs DeepSeek V4.1 Flash 1017
- Mistral Nemo vs DeepSeek V4.1 Flash
- Mistral Nemo vs GLM 5.3 Flash
- Mistral Nemo vs MiMo-V2.6-Flash
- Mistral Nemo vs DeepSeek V4 Flash 0731
- Mistral Nemo vs DeepSeek V4 Flash 0423
- Mistral Nemo vs Muse Spark 1.3 Contributor
- Mistral Nemo vs Solar Mini 4
- Mistral Nemo vs gpt-oss-20b
Our take
Mistral Nemo is 1.7x cheaper for a typical chat. Qwen3.7 Flash has the larger context window (1M vs 131K 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 Qwen3.7 Flash or Mistral Nemo cheaper?
Mistral Nemo is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Nemo costs $0.03 per 1M input tokens and $0.03 per 1M output tokens, while Qwen3.7 Flash costs $0.03 per 1M input tokens and $0.13 per 1M output tokens.
Which has a bigger context window, Qwen3.7 Flash or Mistral Nemo?
Qwen3.7 Flash supports up to 1M tokens of context, compared with 131K for Mistral Nemo.
Can I use Qwen3.7 Flash and Mistral Nemo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.7 Flash and Mistral Nemo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.7 Flash and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.