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Gemini 2.0 Flash-Lite vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 12.3. Gemini 2.0 Flash-Lite is 8.1x cheaper per token.

Google · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 12.3, ranking #34 overall.

On price, Gemini 2.0 Flash-Lite is roughly 8.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 Flash-Lite 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-Lite

  • cost matters — it's about 8.1x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

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 want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 2.0 Flash-Lite
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
12.3
#267
46.2
#34
Reasoning
12.5
#260
44.0
#43
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.07 / M
$0.68 / M
Output price
$0.30 / M
$2.09 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.0 Flash-Lite
Mistral Large 4
Vision
1.4#183
1.1#187
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash-Lite · 18 for Mistral Large 4

No common benchmarks found

Gemini 2.0 Flash-Lite 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 2.0 Flash-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 9.7x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 7.0x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Gemini 2.0 Flash-Lite.*

* 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 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
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 2.0 Flash-Lite accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash-Lite
Input1,048,576 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 2.0 Flash-Lite and Mistral Large 4 support multimodal inputs.

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

Gemini 2.0 Flash-Lite

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 2.0 Flash-Lite

Proprietary

Closed source

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 20 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.7 years ago

Mistral Large 4

Oct 6, 2026

2 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Mistral Large 4's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Mistral Large 4

—

Provider Availability

Gemini 2.0 Flash-Lite is available from Google. Mistral Large 4 is available from Mistral AI.

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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 2.0 Flash-Lite and Mistral Large 4 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Mistral Large 4.

Which is better, Gemini 2.0 Flash-Lite or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 12.3. Gemini 2.0 Flash-Lite 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 2.0 Flash-Lite compare to Mistral Large 4 in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Gemini 2.0 Flash-Lite cheaper than Mistral Large 4?

Gemini 2.0 Flash-Lite is 9.7x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/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 2.0 Flash-Lite and Mistral Large 4?

Gemini 2.0 Flash-Lite supports 1.0M 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 2.0 Flash-Lite and Mistral Large 4?

Key differences include LLM Stats Score (12.3 vs 46.2), context window (1.0M vs 1.0M), input pricing ($0.07 vs $0.68/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and Mistral Large 4?

Gemini 2.0 Flash-Lite is developed by Google and Mistral Large 4 is developed by Mistral AI.

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