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Gemini 1.0 Pro vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to -5.4. Gemini 1.0 Pro is 1.4x cheaper per token.

Google · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to -5.4, ranking #34 overall.

On price, Gemini 1.0 Pro is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 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 1.0 Pro

  • cost matters — it's about 1.4x cheaper per token

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
-5.4
#373
46.2
#34
Reasoning
-8.0
#372
44.0
#43
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
$0.68 / M
Output price
$1.50 / M
$2.09 / M
Context window
32,760
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 1.0 Pro
Mistral Large 4
Vision
-8.7#215
1.1#187
Multimodal
-6.3#177
1.7#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 18 for Mistral Large 4

No common benchmarks found

Gemini 1.0 Pro and Mistral Large 4don'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

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 1.4x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 1.4x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 1.0 Pro

Proprietary

Closed source

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 32 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

Mistral Large 4

Oct 6, 2026

2 days ago

2.6yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Mistral Large 4's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Gemini 1.0 Pro

Feb 2024

Mistral Large 4

—

Provider Availability

Gemini 1.0 Pro is available from Google. Mistral Large 4 is available from Mistral AI.

Gemini 1.0 Pro

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

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and Mistral Large 4 side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs Mistral Large 4.

Which is better, Gemini 1.0 Pro or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to -5.4. Gemini 1.0 Pro is made by Google and Mistral Large 4 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 1.0 Pro compare to Mistral Large 4 in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Gemini 1.0 Pro cheaper than Mistral Large 4?

Gemini 1.0 Pro is 1.4x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for Gemini 1.0 Pro and Mistral Large 4?

Gemini 1.0 Pro supports 33K tokens and Mistral Large 4 supports 1.0M 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 Large 4?

Key differences include LLM Stats Score (-5.4 vs 46.2), context window (33K vs 1.0M), input pricing ($0.50 vs $0.68/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Mistral Large 4?

Gemini 1.0 Pro is developed by Google and Mistral Large 4 is developed by Mistral AI.

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