The AI arena is free today

Open Superagent

Gemini 3.8 Flash vs Mistral Large 4

Gemini 3.8 Flash and Mistral Large 4 are closely matched at 49.2 and 46.2 on the LLM Stats Score. Mistral Large 4 is 1.5x cheaper per token.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash and Mistral Large 4 are closely matched on the overall LLM Stats Score at 49.2 and 46.2.

The models split the 4 individual benchmarks reported for both models evenly.

On price, Mistral Large 4 is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.8 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 3.8 Flash

  • you process long inputs — it offers a 1,048,576 token context window

Choose Mistral Large 4

  • cost matters — it's about 1.5x cheaper per token
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
49.2
#23
46.2
#34
Reasoning
46.2
#30
44.4
#38
Coding
35.4
#28
35.4
#27
Agents
33.9
#27
34.0
#26
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.75 / M
$0.68 / M
Output price
$3.75 / M
$2.09 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 3.8 Flash
Mistral Large 4
Vision
33.3#20
1.1#189
Tool use
22.8#45
29.1#17
Multimodal
34.3#15
1.7#162
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 18 for Mistral Large 4

4 shared

Gemini 3.8 Flash outperforms in 2 benchmarks (DeepSWE 1.1, GDP.pdf), while Mistral Large 4 is better at 2 benchmarks (Harvey's Legal Agent Benchmark, Terminal-Bench 4.0).

Both models are evenly matched across the benchmarks.

Wed Oct 14 2026 • llm-stats.com

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 3.8 Flash ($0.75/1M tokens) is 1.1x more expensive than Mistral Large 4 ($0.68/1M tokens).

For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 1.8x more expensive than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Gemini 3.8 Flash is more expensive than Mistral Large 4.*

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

Lowest available price from all providers
Wed Oct 14 2026 • llm-stats.com
Google
Gemini 3.8 Flash
Input tokens$0.75
Output tokens$3.75
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 3.8 Flash accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.8 Flash and Mistral Large 4 support multimodal inputs.

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

Gemini 3.8 Flash

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 3.8 Flash

Proprietary

Closed source

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 1 month newer than Gemini 3.8 Flash.

Gemini 3.8 Flash

Sep 2, 2026

1 months ago

Mistral Large 4

Oct 6, 2026

1 weeks ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while Mistral Large 4's cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Gemini 3.8 Flash

Mar 2026

Mistral Large 4

—

Provider Availability

Gemini 3.8 Flash is available from Google. Mistral Large 4 is available from Mistral AI.

Gemini 3.8 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

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

Gemini 3.8 Flash
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Mistral Large 4.

Which is better, Gemini 3.8 Flash or Mistral Large 4?

Gemini 3.8 Flash and Mistral Large 4 are closely matched on the LLM Stats Score at 49.2 and 46.2. Gemini 3.8 Flash 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 3.8 Flash compare to Mistral Large 4 in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Gemini 3.8 Flash cheaper than Mistral Large 4?

Mistral Large 4 is 1.1x cheaper for input tokens. Gemini 3.8 Flash costs $0.75/M input and $3.75/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 3.8 Flash and Mistral Large 4?

Gemini 3.8 Flash 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 3.8 Flash and Mistral Large 4?

Key differences include LLM Stats Score (49.2 vs 46.2), context window (1.0M vs 1.0M), input pricing ($0.75 vs $0.68/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and Mistral Large 4?

Gemini 3.8 Flash is developed by Google and Mistral Large 4 is developed by Mistral AI.

Related comparisons