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Claude 3.5 Haiku vs Mistral NeMo Instruct

Comparing Claude 3.5 Haiku and Mistral NeMo Instruct across benchmarks, pricing, and capabilities.

Anthropic · Mistral AI · Updated for 2026

Which is better?

Claude 3.5 Haiku and Mistral NeMo Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Mistral NeMo Instruct is roughly 10.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude 3.5 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Claude 3.5 Haiku

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Oct 2024

Choose Mistral NeMo Instruct

  • cost matters — it's about 10.7x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.80 / M
$0.15 / M
Output price
$4.00 / M
$0.15 / M
Context window
200,000
128,000
Released
Oct 2024
Jul 2024
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Claude 3.5 Haiku and Mistral NeMo Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Mistral NeMo Instruct costs less

For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 5.3x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 26.7x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

In conclusion, Claude 3.5 Haiku is more expensive than Mistral NeMo Instruct.*

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

Lowest available price from all providers
Wed Aug 26 2026 • llm-stats.com
Anthropic
Claude 3.5 Haiku
Input tokens$0.80
Output tokens$4.00
Best providerAWS Bedrock
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

Claude 3.5 Haiku accepts 200,000 input tokens compared to Mistral NeMo Instruct's 128,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while Mistral NeMo Instruct is limited to 128,000 tokens.

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Wed Aug 26 2026 • llm-stats.com

License

Usage and distribution terms

Claude 3.5 Haiku 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.

Claude 3.5 Haiku

Proprietary

Closed source

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while Mistral NeMo Instruct was released on 2024-07-18.

Claude 3.5 Haiku is 3 months newer than Mistral NeMo Instruct.

Claude 3.5 Haiku

Oct 22, 2024

1.8 years ago

3mo newer
Mistral NeMo Instruct

Jul 18, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. Mistral NeMo Instruct is available from Google, Mistral AI.

Claude 3.5 Haiku

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
google logo
Google
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

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

Judge for yourself.

Run your own prompts against Claude 3.5 Haiku and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.

Claude 3.5 Haiku
✓ Preferred
Mistral NeMo Instruct
Open in Playground

FAQ

Common questions about Claude 3.5 Haiku vs Mistral NeMo Instruct.

Which is better, Claude 3.5 Haiku or Mistral NeMo Instruct?

Claude 3.5 Haiku (Anthropic) and Mistral NeMo Instruct (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Claude 3.5 Haiku compare to Mistral NeMo Instruct in benchmarks?

Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

Is Claude 3.5 Haiku cheaper than Mistral NeMo Instruct?

Mistral NeMo Instruct is 5.3x cheaper for input tokens. Claude 3.5 Haiku costs $0.80/M input and $4.00/M output via bedrock. Mistral NeMo Instruct costs $0.15/M input and $0.15/M output via google.

What are the context window sizes for Claude 3.5 Haiku and Mistral NeMo Instruct?

Claude 3.5 Haiku supports 200K 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 Claude 3.5 Haiku and Mistral NeMo Instruct?

Key differences include context window (200K vs 128K), input pricing ($0.80 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.5 Haiku and Mistral NeMo Instruct?

Claude 3.5 Haiku is developed by Anthropic and Mistral NeMo Instruct is developed by Mistral AI.