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Devstral Small 1.1 vs Parse

Comparing Devstral Small 1.1 and Parse across benchmarks, pricing, and capabilities.

Mistral AI · Cohere · Updated for 2026

Which is better?

Devstral Small 1.1 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Devstral Small 1.1 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 Devstral Small 1.1

  • 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
$0.10 / M
— / M
Output price
$0.30 / M
— / M
Context window
128,000
8,192

Individual benchmarks

1 reported for Devstral Small 1.1 · 1 for Parse

No common benchmarks found

Devstral Small 1.1 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

21.7B diff

Devstral Small 1.1 has 21.7B more parameters than Parse, making it 943.5% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
Cohere
Parse
2.3Bparameters
24.0B
Devstral Small 1.1
2.3B
Parse

Context Window

Maximum input and output token capacity

Devstral Small 1.1 accepts 128,000 input tokens compared to Parse's 8,192 tokens. Only Devstral Small 1.1 specifies output context (128,000 tokens).

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Devstral Small 1.1 does not.

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

Devstral Small 1.1

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Small 1.1 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.

Devstral Small 1.1

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Parse was released on 2026-08-27.

Parse is 14 months newer than Devstral Small 1.1.

Devstral Small 1.1

Jul 11, 2025

1.2 years ago

Parse

Aug 27, 2026

1 weeks ago

1.1yr 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

Devstral Small 1.1 is available from Mistral AI. Parse is available from Azure, Cohere.

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

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 Devstral Small 1.1 and Parse side-by-side, then vote on the output you prefer.

Devstral Small 1.1
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Devstral Small 1.1 vs Parse.

Which is better, Devstral Small 1.1 or Parse?

Devstral Small 1.1 (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 Devstral Small 1.1 compare to Parse in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Devstral Small 1.1 and Parse?

Devstral Small 1.1 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 Devstral Small 1.1 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 Devstral Small 1.1 and Parse?

Devstral Small 1.1 is developed by Mistral AI and Parse is developed by Cohere.