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Gemini 1.5 Pro vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 12.0. Mistral Large 4 is 4.2x cheaper per token.

Google · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 12.0, ranking #34 overall.

On price, Mistral Large 4 is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 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 1.5 Pro

  • you process long inputs — it offers a 2,097,152 token context window

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 4.2x cheaper per token
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
12.0
#271
46.2
#34
Reasoning
11.8
#266
44.0
#43
Coding
4.3
#222
35.8
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.50 / M
$0.68 / M
Output price
$10.00 / M
$2.09 / M
Context window
2,097,152
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 1.5 Pro
Mistral Large 4
Vision
9.3#137
1.1#187
Multimodal
13.3#109
1.7#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 18 for Mistral Large 4

No common benchmarks found

Gemini 1.5 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

Mistral Large 4 costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 3.7x more expensive than Mistral Large 4 ($0.68/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 4.8x more expensive than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Mistral Large 4.*

* 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 1.5 Pro
Input tokens$2.50
Output tokens$10.00
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

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 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

Both Gemini 1.5 Pro and Mistral Large 4 support multimodal inputs.

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

Gemini 1.5 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 1.5 Pro

Proprietary

Closed source

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 30 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.4 years ago

Mistral Large 4

Oct 6, 2026

1 days ago

2.4yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Mistral Large 4's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Gemini 1.5 Pro

Nov 2023

Mistral Large 4

—

Provider Availability

Gemini 1.5 Pro is available from Google. Mistral Large 4 is available from Mistral AI.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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 1.5 Pro and Mistral Large 4 side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Mistral Large 4.

Which is better, Gemini 1.5 Pro or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 12.0. Gemini 1.5 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 1.5 Pro compare to Mistral Large 4 in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Gemini 1.5 Pro cheaper than Mistral Large 4?

Mistral Large 4 is 3.7x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/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 1.5 Pro and Mistral Large 4?

Gemini 1.5 Pro supports 2.1M 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 1.5 Pro and Mistral Large 4?

Key differences include LLM Stats Score (12.0 vs 46.2), context window (2.1M vs 1.0M), input pricing ($2.50 vs $0.68/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and Mistral Large 4?

Gemini 1.5 Pro is developed by Google and Mistral Large 4 is developed by Mistral AI.

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