Claude Haiku 5.5 vs Mistral NeMo Instruct
Claude Haiku 5.5 leads the LLM Stats Score 50.0 to -4.8. Mistral NeMo Instruct is 9.2x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to -4.8, ranking #19 overall.
On price, Mistral NeMo Instruct is roughly 9.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 5.5 also accepts a larger context window (1,000,000 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 Claude Haiku 5.5
- overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Mistral NeMo Instruct
- cost matters — it's about 9.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
36 reported for Claude Haiku 5.5 · 8 for Mistral NeMo Instruct
Claude Haiku 5.5 and Mistral NeMo Instructdon'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
For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 5.3x more expensive than Mistral NeMo Instruct ($0.02/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 16.7x more expensive than Mistral NeMo Instruct ($0.03/1M tokens).
In conclusion, Claude Haiku 5.5 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
Claude Haiku 5.5 accepts 1,000,000 input tokens compared to Mistral NeMo Instruct's 131,072 tokens. Mistral NeMo Instruct can generate longer responses up to 131,072 tokens, while Claude Haiku 5.5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Haiku 5.5 supports multimodal inputs, whereas Mistral NeMo Instruct does not.
Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 5.5
Mistral NeMo Instruct
License
Usage and distribution terms
Claude Haiku 5.5 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
Claude Haiku 5.5 was released on 2026-10-07, while Mistral NeMo Instruct was released on 2024-07-18.
Claude Haiku 5.5 is 27 months newer than Mistral NeMo Instruct.
Oct 7, 2026
1 days ago
2.2yr newerJul 18, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Mistral NeMo Instruct's cutoff date is not specified.
We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Mistral NeMo Instruct's cutoff date.
Jun 2026
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Provider Availability
Claude Haiku 5.5 is available from Anthropic. Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI.
Claude Haiku 5.5
Mistral NeMo Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs Mistral NeMo Instruct.