Model Comparison

Gemini 1.0 Pro vs Mistral Small 3 24B InstructWhich is better in 2026?

Mistral Small 3 24B Instruct significantly outperforms across most benchmarks. Mistral Small 3 24B Instruct is 8.6x cheaper per token.

Verdict: Gemini 1.0 Pro vs Mistral Small 3 24B Instruct — which is better?

Gemini 1.0 Pro (by Google) and Mistral Small 3 24B Instruct (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 1.0 Pro outperforms in 0 benchmarks, while Mistral Small 3 24B Instruct is better at 2 benchmarks (GPQA, MATH). Mistral Small 3 24B Instruct significantly outperforms across most benchmarks.

On price, Mistral Small 3 24B Instruct is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.0 Pro also accepts a larger context window (32,760 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.0 Pro if…

  • you process long inputs — it offers a 32,760 token context window

Choose Mistral Small 3 24B Instruct if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 8.6x cheaper per token
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while Mistral Small 3 24B Instruct is better at 2 benchmarks (GPQA, MATH).

Mistral Small 3 24B Instruct significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3 24B Instruct costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 7.1x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 10.7x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Mistral Small 3 24B Instruct.*

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Mistral AI
Mistral Small 3 24B Instruct
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.0 Pro accepts 32,760 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. Mistral Small 3 24B Instruct can generate longer responses up to 32,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Mistral AI
Mistral Small 3 24B Instruct
Input32,000 tokens
Output32,000 tokens
Sat Jul 18 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro 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.

Gemini 1.0 Pro

Proprietary

Closed source

Mistral Small 3 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Mistral Small 3 24B Instruct was released on 2025-01-30.

Mistral Small 3 24B Instruct is 12 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.4 years ago

Mistral Small 3 24B Instruct

Jan 30, 2025

1.5 years ago

11mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while Mistral Small 3 24B Instruct has a cutoff of 2023-10-01.

Gemini 1.0 Pro has more recent training data (up to 2024-02-01), making it potentially better informed about events through that date compared to Mistral Small 3 24B Instruct (2023-10-01).

Gemini 1.0 Pro

Feb 2024

4 mo newer
Mistral Small 3 24B Instruct

Oct 2023

Provider Availability

Gemini 1.0 Pro is available from Google. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Mistral Small 3 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
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→

Key Takeaways

Google
Larger context window (32,760 tokens)
Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (45.3% vs 27.9%)
Higher MATH score (70.6% vs 32.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and Mistral Small 3 24B Instruct side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Mistral Small 3 24B Instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Mistral AI
Mistral Small 3 24B Instruct

FAQ

Common questions about Gemini 1.0 Pro vs Mistral Small 3 24B Instruct.

Which is better, Gemini 1.0 Pro or Mistral Small 3 24B Instruct?

Mistral Small 3 24B Instruct significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and Mistral Small 3 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to Mistral Small 3 24B Instruct in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Mistral Small 3 24B Instruct scores Arena Hard: 87.6%, HumanEval: 84.8%, MT-Bench: 83.5%, IFEval: 82.9%, MATH: 70.6%.

Is Gemini 1.0 Pro cheaper than Mistral Small 3 24B Instruct?

Mistral Small 3 24B Instruct is 7.1x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Mistral Small 3 24B Instruct costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for Gemini 1.0 Pro and Mistral Small 3 24B Instruct?

Gemini 1.0 Pro supports 33K tokens and Mistral Small 3 24B Instruct supports 32K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and Mistral Small 3 24B Instruct?

Key differences include context window (33K vs 32K), input pricing ($0.50 vs $0.07/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Mistral Small 3 24B Instruct?

Gemini 1.0 Pro is developed by Google and Mistral Small 3 24B Instruct is developed by Mistral AI.

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