DeepSeek V4.1 Flash 1017 Open vs 
Mistral Large 2407 Open
DeepSeek V4.1 Flash 1017 vs Mistral Large 2407 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$1.8 /M outputNo per-token fees if you self-host
$6 /M outputNo per-token fees if you self-host
DeepSeek V4.1 Flash 1017 vs Mistral Large 2407 specs
| Spec | DeepSeek V4.1 Flash 1017 | Mistral Large 2407 | Winner |
|---|---|---|---|
| Maker | DeepSeek | Mistral AI | – |
| Type | Open-weight | Open-weight | – |
| Context window | 1M tokens | 131K tokens | |
| Input price | $0.01/M · free self-host | $2/M · free self-host | |
| Output price | $1.8/M · free self-host | $6/M · free self-host | |
| Vision / multimodal | Yes | No | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | Yes | = Tie |
| License | MIT | Apache 2.0 | – |
Price gap & when to choose each
DeepSeek V4.1 Flash 1017 is ~3.3× cheaper than Mistral Large 2407 on output tokens ($1.8 vs $6 per M tokens).
- You want to self-host or run on your cloud
- You need the longer 1M context window
- You prioritize data privacy & control
- You want the lowest operating costs
- You are building open or reproducible AI
- You want to self-host or run on your cloud
- You prioritize data privacy & control
- You are building open or reproducible AI
Feature comparison
| Capability | DeepSeek V4.1 Flash 1017 | Mistral Large 2407 |
|---|---|---|
| Open weights (downloadable) | ✓ | ✓ |
| Self-hostable | ✓ | ✓ |
| Runs fully offline | ✓ | ✓ |
| Vision / multimodal | ✓ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: DeepSeek V4.1 Flash 1017 vs Mistral Large 2407
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How DeepSeek V4.1 Flash 1017 and Mistral Large 2407 score
| Criterion | DeepSeek V4.1 Flash 1017 | Mistral Large 2407 |
|---|---|---|
| Cost-efficiency | 4.5 | 4.0 |
| Context window | 5.0 | 3.5 |
| Openness | 5.0 | 5.0 |
| Self-hosting | 5.0 | 5.0 |
| Multimodality | 5.0 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
DeepSeek V4.1 Flash 1017 Open
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
Mistral Large 2407 Open
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/m
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
DeepSeek V4.1 Flash 1017 vs Mistral Large 2407 — which is cheaper?
DeepSeek V4.1 Flash 1017 is cheaper on output ($1.8/M vs $6/M).
Which has the larger context window?
DeepSeek V4.1 Flash 1017 offers the larger context window (1M tokens).
DeepSeek V4.1 Flash 1017 vs Mistral Large 2407 — which should I pick in 2026?
Choose DeepSeek V4.1 Flash 1017 for the lower output price ($1.8/M vs $6/M). It also gives you the larger 1M context window.
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