DeepSeek V4.1 Flash 1017 Open vs 
Mistral Large 4 Open
DeepSeek V4.1 Flash 1017 vs Mistral Large 4 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.
$0.6 /M outputNo per-token fees if you self-host
$4.18 /M outputNo per-token fees if you self-host
DeepSeek V4.1 Flash 1017 vs Mistral Large 4 specs
| Spec | DeepSeek V4.1 Flash 1017 | Mistral Large 4 | Winner |
|---|---|---|---|
| Maker | DeepSeek | Mistral AI | – |
| Type | Open-weight | Open-weight | – |
| Context window | 1M tokens | 1M tokens | = Tie |
| Input price | $0.15/M · free self-host | $1.36/M · free self-host | |
| Output price | $0.6/M · free self-host | $4.18/M · free self-host | |
| Vision / multimodal | Yes | Yes | = Tie |
| 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 ~7.0× cheaper than Mistral Large 4 on output tokens ($0.6 vs $4.18 per M tokens).
- You want to self-host or run on your cloud
- 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 4 |
|---|---|---|
| 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 4
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 4 score
| Criterion | DeepSeek V4.1 Flash 1017 | Mistral Large 4 |
|---|---|---|
| Cost-efficiency | 5.0 | 4.0 |
| Context window | 5.0 | 5.0 |
| Openness | 5.0 | 5.0 |
| Self-hosting | 5.0 | 5.0 |
| Multimodality | 5.0 | 5.0 |
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 4 Open
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...
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 4 — which is cheaper?
DeepSeek V4.1 Flash 1017 is cheaper on output ($0.6/M vs $4.18/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 4 — which should I pick in 2026?
Choose DeepSeek V4.1 Flash 1017 for the lower output price ($0.6/M vs $4.18/M). It also gives you the larger 1M context window.
People also compare
Explore more open-source AI
Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.
Open the leaderboard →