DeepSeek-V4-Flash-Vision-Exp vs Mistral Small 3.1 24B Base
Comparing DeepSeek-V4-Flash-Vision-Exp and Mistral Small 3.1 24B Base across benchmarks, pricing, and capabilities.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and Mistral Small 3.1 24B Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small 3.1 24B Base is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Vision-Exp 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 benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Vision-Exp
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Mistral Small 3.1 24B Base
- cost matters — it's about 2.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Vision-Exp and Mistral Small 3.1 24B Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 2.2x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 2.2x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both DeepSeek-V4-Flash-Vision-Exp and Mistral Small 3.1 24B Base support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4-Flash-Vision-Exp
Mistral Small 3.1 24B Base
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Mistral Small 3.1 24B Base was released on 2025-03-17.
DeepSeek-V4-Flash-Vision-Exp is 17 months newer than Mistral Small 3.1 24B Base.
Aug 21, 2026
3 days ago
1.4yr newerMar 17, 2025
1.4 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-Vision-Exp is available from DeepSeek. Mistral Small 3.1 24B Base is available from Mistral AI.
DeepSeek-V4-Flash-Vision-Exp
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs Mistral Small 3.1 24B Base.