Model Comparison

Gemini 1.5 Pro vs Mistral NeMo InstructWhich is better in 2026?

Gemini 1.5 Pro significantly outperforms across most benchmarks. Mistral NeMo Instruct is 29.2x cheaper per token.

Verdict: Gemini 1.5 Pro vs Mistral NeMo Instruct — which is better?

Gemini 1.5 Pro (by Google) and Mistral NeMo Instruct (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 Pro outperforms in 2 benchmarks (HellaSwag, MMLU), while Mistral NeMo Instruct is better at 0 benchmarks. Gemini 1.5 Pro significantly outperforms across most benchmarks.

On price, Mistral NeMo Instruct is roughly 29.2x 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.

Choose Gemini 1.5 Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 2,097,152 token context window

Choose Mistral NeMo Instruct if…

  • cost matters — it's about 29.2x cheaper per token
  • you want the most recent training data — it shipped Jul 2024
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.5 Pro outperforms in 2 benchmarks (HellaSwag, MMLU), while Mistral NeMo Instruct is better at 0 benchmarks.

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Wed Jun 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral NeMo Instruct costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 16.7x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 66.7x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Mistral NeMo Instruct.*

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

Lowest available price from all providers
Wed Jun 10 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Mistral AI
Mistral NeMo Instruct
Input tokens$0.15
Output tokens$0.15
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Mistral NeMo Instruct's 128,000 tokens. Mistral NeMo Instruct can generate longer responses up to 128,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Wed Jun 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas Mistral NeMo Instruct does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

Mistral NeMo Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro is licensed under a proprietary license, while Mistral NeMo Instruct uses Apache 2.0.

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

Gemini 1.5 Pro

Proprietary

Closed source

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Mistral NeMo Instruct was released on 2024-07-18.

Mistral NeMo Instruct is 3 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.1 years ago

Mistral NeMo Instruct

Jul 18, 2024

1.9 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Mistral NeMo Instruct'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 NeMo Instruct's cutoff date.

Gemini 1.5 Pro

Nov 2023

Mistral NeMo Instruct

—

Provider Availability

Gemini 1.5 Pro is available from Google. Mistral NeMo Instruct is available from Google, Mistral AI.

Gemini 1.5 Pro

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

Mistral NeMo Instruct

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (2,097,152 tokens)
Supports multimodal inputs
Higher HellaSwag score (93.3% vs 83.5%)
Higher MMLU score (85.9% vs 68.0%)
Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Mistral AI
Mistral NeMo Instruct

FAQ

Common questions about Gemini 1.5 Pro vs Mistral NeMo Instruct.

Which is better, Gemini 1.5 Pro or Mistral NeMo Instruct?

Gemini 1.5 Pro significantly outperforms across most benchmarks. Gemini 1.5 Pro is made by Google and Mistral NeMo Instruct 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 Pro compare to Mistral NeMo Instruct in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

Is Gemini 1.5 Pro cheaper than Mistral NeMo Instruct?

Mistral NeMo Instruct is 16.7x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Mistral NeMo Instruct costs $0.15/M input and $0.15/M output via google.

What are the context window sizes for Gemini 1.5 Pro and Mistral NeMo Instruct?

Gemini 1.5 Pro supports 2.1M tokens and Mistral NeMo Instruct 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 Pro and Mistral NeMo Instruct?

Key differences include context window (2.1M vs 128K), input pricing ($2.50 vs $0.15/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and Mistral NeMo Instruct?

Gemini 1.5 Pro is developed by Google and Mistral NeMo Instruct is developed by Mistral AI.

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