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DeepSeek R1 Distill Qwen 32B vs Mistral Large 2

DeepSeek R1 Distill Qwen 32B and Mistral Large 2 are closely matched at 13.2 and 7.7 on the LLM Stats Score. DeepSeek R1 Distill Qwen 32B is 22.2x cheaper per token.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B and Mistral Large 2 are closely matched on the overall LLM Stats Score at 13.2 and 7.7.

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.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 32B

  • 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

  • you want predictable pricing at $2.00/M input and $6.00/M output

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 32B
DeepSeek
Mistral Large 2
Mistral AI
Core performance indexes
LLM Stats Score
13.2
#236
7.7
#275
Reasoning
13.4
#227
7.7
#268
Coding
8.3
#175
13.1
#130
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.12 / M
$2.00 / M
Output price
$0.18 / M
$6.00 / M
Context window
128,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
Mistral Large 2
Math
15.2#209
11.8#230
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 5 for Mistral Large 2

No common benchmarks found

DeepSeek R1 Distill Qwen 32B and Mistral Large 2don'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

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 Sep 05 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 Sep 05 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

1.6 years ago

6mo newer
Mistral Large 2

Jul 24, 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

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→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and Mistral Large 2 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
Mistral Large 2
Open in Playground

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 and Mistral Large 2 are closely matched on the LLM Stats Score at 13.2 and 7.7. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Mistral Large 2 is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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 LLM Stats Score (13.2 vs 7.7), 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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