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Mistral NeMo Instruct vs Parse

Comparing Mistral NeMo Instruct and Parse across benchmarks, pricing, and capabilities.

Mistral AI · Cohere · Updated for 2026

Which is better?

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

Mistral NeMo Instruct also accepts a larger context window (128,000 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 Mistral NeMo Instruct

  • you process long inputs — it offers a 128,000 token context window
  • you need open weights you can self-host or fine-tune

Choose Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.15 / M
— / M
Output price
$0.15 / M
— / M
Context window
128,000
8,192

Individual benchmarks

8 reported for Mistral NeMo Instruct · 1 for Parse

No common benchmarks found

Mistral NeMo Instruct and Parsedon'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

Model Size

Parameter count comparison

9.7B diff

Mistral NeMo Instruct has 9.7B more parameters than Parse, making it 421.7% larger.

Mistral AI
Mistral NeMo Instruct
12.0Bparameters
Cohere
Parse
2.3Bparameters
12.0B
Mistral NeMo Instruct
2.3B
Parse

Context Window

Maximum input and output token capacity

Mistral NeMo Instruct accepts 128,000 input tokens compared to Parse's 8,192 tokens. Only Mistral NeMo Instruct specifies output context (128,000 tokens).

Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Mistral NeMo Instruct does not.

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

Mistral NeMo Instruct

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral NeMo Instruct is licensed under Apache 2.0, while Parse uses a proprietary license.

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

Mistral NeMo Instruct

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral NeMo Instruct was released on 2024-07-18, while Parse was released on 2026-08-27.

Parse is 26 months newer than Mistral NeMo Instruct.

Mistral NeMo Instruct

Jul 18, 2024

2.1 years ago

Parse

Aug 27, 2026

4 days ago

2.1yr newer

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

Mistral NeMo Instruct is available from Google, Mistral AI. Parse is available from Azure, Cohere.

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

Parse

azure logo
Azure
cohere logo
Cohere
* 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 Mistral NeMo Instruct and Parse side-by-side, then vote on the output you prefer.

Mistral NeMo Instruct
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Mistral NeMo Instruct vs Parse.

Which is better, Mistral NeMo Instruct or Parse?

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

How does Mistral NeMo Instruct compare to Parse in benchmarks?

Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Mistral NeMo Instruct and Parse?

Mistral NeMo Instruct supports 128K tokens and Parse supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral NeMo Instruct and Parse?

Key differences include context window (128K vs 8K), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral NeMo Instruct and Parse?

Mistral NeMo Instruct is developed by Mistral AI and Parse is developed by Cohere.