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Gemini 2.0 Flash vs Mistral Small 3.1 24B Base

Gemini 2.0 Flash leads the LLM Stats Score 16.6 to 0.5. Mistral Small 3.1 24B Base is 1.2x cheaper per token.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 2.0 Flash leads the overall LLM Stats Score 16.6 to 0.5, ranking #209 overall.

In the 3 individual benchmarks reported for both models, Gemini 2.0 Flash wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Mistral Small 3.1 24B Base is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash

  • overall performance matters — it scores 16.6 and ranks #209 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window

Choose Mistral Small 3.1 24B Base

  • cost matters — it's about 1.2x cheaper per token
  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.0 Flash
Google
Mistral Small 3.1 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
16.6
#209
0.5
#313
Reasoning
16.0
#208
0.6
#303
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.10 / M
$0.10 / M
Output price
$0.40 / M
$0.30 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.0 Flash
Mistral Small 3.1 24B Base
Math
23.6#123
5.0#270
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash · 5 for Mistral Small 3.1 24B Base

3 shared

Gemini 2.0 Flash outperforms in 3 benchmarks (GPQA, MMLU-Pro, MMMU), while Mistral Small 3.1 24B Base is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) costs the same as Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 1.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Gemini 2.0 Flash is more expensive than Mistral Small 3.1 24B Base.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Sep 07 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash accepts 1,048,576 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Mistral Small 3.1 24B Base can generate longer responses up to 128,000 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash and Mistral Small 3.1 24B Base support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.0 Flash

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash is licensed under a proprietary license, while Mistral Small 3.1 24B Base uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.0 Flash

Proprietary

Closed source

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Mistral Small 3.1 24B Base is 4 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.8 years ago

Mistral Small 3.1 24B Base

Mar 17, 2025

1.5 years ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Mistral Small 3.1 24B Base's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.

Gemini 2.0 Flash

Aug 2024

Mistral Small 3.1 24B Base

—

Provider Availability

Gemini 2.0 Flash is available from Google. Mistral Small 3.1 24B Base is available from Mistral AI.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Mistral Small 3.1 24B Base
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash vs Mistral Small 3.1 24B Base.

Which is better, Gemini 2.0 Flash or Mistral Small 3.1 24B Base?

Gemini 2.0 Flash leads the LLM Stats Score 16.6 to 0.5. Gemini 2.0 Flash is made by Google and Mistral Small 3.1 24B Base is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash compare to Mistral Small 3.1 24B Base in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is Gemini 2.0 Flash cheaper than Mistral Small 3.1 24B Base?

Both models cost $0.10 per million input tokens.

What are the context window sizes for Gemini 2.0 Flash and Mistral Small 3.1 24B Base?

Gemini 2.0 Flash supports 1.0M tokens and Mistral Small 3.1 24B Base supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash and Mistral Small 3.1 24B Base?

Key differences include LLM Stats Score (16.6 vs 0.5), context window (1.0M vs 128K), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and Mistral Small 3.1 24B Base?

Gemini 2.0 Flash is developed by Google and Mistral Small 3.1 24B Base is developed by Mistral AI.

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