Model Comparison

Gemini 1.5 Flash 8B vs Pixtral LargeWhich is better in 2026?

Pixtral Large significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is 23.5x cheaper per token.

Verdict: Gemini 1.5 Flash 8B vs Pixtral Large — which is better?

Gemini 1.5 Flash 8B (by Google) and Pixtral Large (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 1.5 Flash 8B outperforms in 0 benchmarks, while Pixtral Large is better at 2 benchmarks (MathVista, MMMU). Pixtral Large significantly outperforms across most benchmarks.

On price, Gemini 1.5 Flash 8B is roughly 23.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.5 Flash 8B if…

  • cost matters — it's about 23.5x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose Pixtral Large if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Nov 2024
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while Pixtral Large is better at 2 benchmarks (MathVista, MMMU).

Pixtral Large significantly outperforms across most benchmarks.

Sun Jul 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash 8B costs less

For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 28.6x cheaper than Pixtral Large ($2.00/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 20.0x cheaper than Pixtral Large ($6.00/1M tokens).

In conclusion, Pixtral Large is more expensive than Gemini 1.5 Flash 8B.*

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

Lowest available price from all providers
Sun Jul 05 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

116.0B diff

Pixtral Large has 116.0B more parameters than Gemini 1.5 Flash 8B, making it 1450.0% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
8.0B
Gemini 1.5 Flash 8B
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B accepts 1,048,576 input tokens compared to Pixtral Large's 128,000 tokens. Pixtral Large can generate longer responses up to 128,000 tokens, while Gemini 1.5 Flash 8B is limited to 8,192 tokens.

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sun Jul 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Flash 8B and Pixtral Large support multimodal inputs.

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

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.5 Flash 8B

Proprietary

Closed source

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Pixtral Large was released on 2024-11-18.

Pixtral Large is 8 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.3 years ago

Pixtral Large

Nov 18, 2024

1.6 years ago

8mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Pixtral Large's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Pixtral Large's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

Pixtral Large

—

Provider Availability

Gemini 1.5 Flash 8B is available from Google. Pixtral Large is available from Mistral AI.

Gemini 1.5 Flash 8B

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

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
Mistral AI
Has open weights
Higher MathVista score (69.4% vs 54.7%)
Higher MMMU score (64.0% vs 53.7%)
GoogleGemini 1.5 Flash 8B
Mistral AIPixtral Large
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash 8B and Pixtral Large side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash 8B
✓ Preferred
Pixtral Large
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
Mistral AI
Pixtral Large

FAQ

Common questions about Gemini 1.5 Flash 8B vs Pixtral Large.

Which is better, Gemini 1.5 Flash 8B or Pixtral Large?

Pixtral Large significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is made by Google and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.5 Flash 8B compare to Pixtral Large in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

Is Gemini 1.5 Flash 8B cheaper than Pixtral Large?

Gemini 1.5 Flash 8B is 28.6x cheaper for input tokens. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output via google. Pixtral Large costs $2.00/M input and $6.00/M output via mistral.

What are the context window sizes for Gemini 1.5 Flash 8B and Pixtral Large?

Gemini 1.5 Flash 8B supports 1.0M tokens and Pixtral Large supports 128K 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 Flash 8B and Pixtral Large?

Key differences include context window (1.0M vs 128K), input pricing ($0.07 vs $2.00/M), licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash 8B and Pixtral Large?

Gemini 1.5 Flash 8B is developed by Google and Pixtral Large is developed by Mistral AI.

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