Gemini 3.7 Flash vs Mistral Small 3 24B Instruct
Comparing Gemini 3.7 Flash and Mistral Small 3 24B Instruct across benchmarks, pricing, and capabilities.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 3.7 Flash and Mistral Small 3 24B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small 3 24B Instruct is roughly 17.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.7 Flash 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 Gemini 3.7 Flash
- 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 24B Instruct
- cost matters — it's about 17.1x 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
Gemini 3.7 Flash and Mistral Small 3 24B Instructdon'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, Gemini 3.7 Flash ($0.75/1M tokens) is 10.7x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 26.8x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).
In conclusion, Gemini 3.7 Flash is more expensive than Mistral Small 3 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.7 Flash accepts 1,048,576 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. Gemini 3.7 Flash can generate longer responses up to 65,536 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.7 Flash supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.
Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.7 Flash
Mistral Small 3 24B Instruct
License
Usage and distribution terms
Gemini 3.7 Flash is licensed under a proprietary license, while Mistral Small 3 24B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.7 Flash was released on 2026-08-13, while Mistral Small 3 24B Instruct was released on 2025-01-30.
Gemini 3.7 Flash is 19 months newer than Mistral Small 3 24B Instruct.
Aug 13, 2026
1 weeks ago
1.5yr newerJan 30, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while Mistral Small 3 24B Instruct has a cutoff of 2023-10-01.
Gemini 3.7 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Mistral Small 3 24B Instruct (2023-10-01).
Mar 2026
2.4 yr newerOct 2023
Provider Availability
Gemini 3.7 Flash is available from Google. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
Gemini 3.7 Flash
Mistral Small 3 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and Mistral Small 3 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs Mistral Small 3 24B Instruct.