Model Comparison

DeepSeek-V2.5 vs Devstral Small 1.1

Devstral Small 1.1 significantly outperforms across most benchmarks. Devstral Small 1.1 is 1.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V2.5 outperforms in 0 benchmarks, while Devstral Small 1.1 is better at 1 benchmark (SWE-Bench Verified).

Devstral Small 1.1 significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Devstral Small 1.1 costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 1.4x more expensive than Devstral Small 1.1 ($0.10/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 1.1x cheaper than Devstral Small 1.1 ($0.30/1M tokens).

In conclusion, DeepSeek-V2.5 is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

212.0B diff

DeepSeek-V2.5 has 212.0B more parameters than Devstral Small 1.1, making it 883.3% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Mistral AI
Devstral Small 1.1
24.0Bparameters
236.0B
DeepSeek-V2.5
24.0B
Devstral Small 1.1

Context Window

Maximum input and output token capacity

Devstral Small 1.1 accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Devstral Small 1.1 can generate longer responses up to 128,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Wed Apr 22 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Devstral Small 1.1 uses Apache 2.0.

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

DeepSeek-V2.5

deepseek

Open weights

Devstral Small 1.1

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Devstral Small 1.1 was released on 2025-07-11.

Devstral Small 1.1 is 14 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.0 years ago

Devstral Small 1.1

Jul 11, 2025

9 months ago

1.2yr 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

DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Devstral Small 1.1 is available from Mistral AI.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive output tokens
Mistral AI
Larger context window (128,000 tokens)
Less expensive input tokens
Higher SWE-Bench Verified score (53.6% vs 16.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Mistral AI
Devstral Small 1.1

FAQ

Common questions about DeepSeek-V2.5 vs Devstral Small 1.1

Devstral Small 1.1 significantly outperforms across most benchmarks. DeepSeek-V2.5 is made by DeepSeek and Devstral Small 1.1 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Devstral Small 1.1 scores SWE-Bench Verified: 53.6%.
Devstral Small 1.1 is 1.4x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral.
DeepSeek-V2.5 supports 8K tokens and Devstral Small 1.1 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (8K vs 128K), input pricing ($0.14 vs $0.10/M), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and Devstral Small 1.1 is developed by Mistral AI.