Model Comparison

DeepSeek R1 Distill Qwen 32B vs Mistral Large 2Which is better in 2026?

Comparing DeepSeek R1 Distill Qwen 32B and Mistral Large 2 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek R1 Distill Qwen 32B vs Mistral Large 2 — which is better?

DeepSeek R1 Distill Qwen 32B (by DeepSeek) and Mistral Large 2 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, DeepSeek R1 Distill Qwen 32B is roughly 22.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose DeepSeek R1 Distill Qwen 32B if…

  • cost matters — it's about 22.2x cheaper per token
  • you want the most recent training data — it shipped Jan 2025

Choose Mistral Large 2 if…

  • you want predictable pricing at $2.00/M input and $6.00/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 32B and Mistral Large 2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 16.7x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 33.3x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than DeepSeek R1 Distill Qwen 32B.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

90.2B diff

Mistral Large 2 has 90.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 275.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Mistral Large 2 uses Mistral Research License.

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Mistral Large 2 was released on 2024-07-24.

DeepSeek R1 Distill Qwen 32B is 6 months newer than Mistral Large 2.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.4 years ago

6mo newer
Mistral Large 2

Jul 24, 2024

1.9 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

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Mistral Large 2 is available from Google, Mistral AI.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Mistral AI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
Mistral AI
Mistral Large 2

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Mistral Large 2.

Which is better, DeepSeek R1 Distill Qwen 32B or Mistral Large 2?

DeepSeek R1 Distill Qwen 32B (DeepSeek) and Mistral Large 2 (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 DeepSeek R1 Distill Qwen 32B compare to Mistral Large 2 in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is DeepSeek R1 Distill Qwen 32B cheaper than Mistral Large 2?

DeepSeek R1 Distill Qwen 32B is 16.7x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Mistral Large 2?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and Mistral Large 2 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 DeepSeek R1 Distill Qwen 32B and Mistral Large 2?

Key differences include input pricing ($0.12 vs $2.00/M), licensing (MIT vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Mistral Large 2?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Mistral Large 2 is developed by Mistral AI.

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