Gemini 1.0 Pro vs Mistral NeMo Instruct
Gemini 1.0 Pro and Mistral NeMo Instruct are closely matched at -5.4 and -4.8 on the LLM Stats Score. Mistral NeMo Instruct is 34.5x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 1.0 Pro and Mistral NeMo Instruct are closely matched on the overall LLM Stats Score at -5.4 and -4.8.
In the 1 individual benchmarks reported for both models, Gemini 1.0 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral NeMo Instruct is roughly 34.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral NeMo Instruct also accepts a larger context window (131,072 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 1.0 Pro
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Mistral NeMo Instruct
- cost matters — it's about 34.5x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Jul 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
9 reported for Gemini 1.0 Pro · 8 for Mistral NeMo Instruct
Gemini 1.0 Pro outperforms in 1 benchmarks (MMLU), while Mistral NeMo Instruct is better at 0 benchmarks.
Gemini 1.0 Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 26.3x more expensive than Mistral NeMo Instruct ($0.02/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 50.0x more expensive than Mistral NeMo Instruct ($0.03/1M tokens).
In conclusion, Gemini 1.0 Pro is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mistral NeMo Instruct accepts 131,072 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Mistral NeMo Instruct can generate longer responses up to 131,072 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
License
Usage and distribution terms
Gemini 1.0 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 1.0 Pro was released on 2024-02-15, while Mistral NeMo Instruct was released on 2024-07-18.
Mistral NeMo Instruct is 5 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.6 years ago
Jul 18, 2024
2.2 years ago
5mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Mistral NeMo Instruct's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Mistral NeMo Instruct's cutoff date.
Feb 2024
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Provider Availability
Gemini 1.0 Pro is available from Google. Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI.
Gemini 1.0 Pro
Mistral NeMo Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs Mistral NeMo Instruct.