DeepSeek-V4-Flash-0731 vs Mistral Small
Comparing DeepSeek-V4-Flash-0731 and Mistral Small across benchmarks, pricing, and capabilities.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-V4-Flash-0731 is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0731
- cost matters — it's about 3.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Mistral Small
- you want predictable pricing at $0.20/M input and $0.60/M output
At a glance
The differences that matter most.
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 0 for Mistral Small
DeepSeek-V4-Flash-0731 and Mistral Smalldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0731 ($0.06/1M tokens) is 3.3x cheaper than Mistral Small ($0.20/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 3.3x cheaper than Mistral Small ($0.60/1M tokens).
In conclusion, Mistral Small is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0731 has 282.0B more parameters than Mistral Small, making it 1281.8% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Mistral Small's 32,768 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Mistral Small is limited to 32,768 tokens.
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Mistral Small was released on 2024-09-17.
DeepSeek-V4-Flash-0731 is 23 months newer than Mistral Small.
Jul 31, 2026
1 months ago
1.9yr newerSep 17, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Mistral Small is available from Mistral AI.
DeepSeek-V4-Flash-0731
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Mistral Small.