Model Comparison

DeepSeek-R1-0528 vs Mistral Large 2Which is better in 2026?

Comparing DeepSeek-R1-0528 and Mistral Large 2 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-R1-0528 vs Mistral Large 2 — which is better?

DeepSeek-R1-0528 (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-R1-0528 is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-R1-0528 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-R1-0528 if…

  • cost matters — it's about 3.3x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped May 2025

Choose Mistral Large 2 if…

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

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1-0528 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-R1-0528 costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 4.0x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 2.8x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than DeepSeek-R1-0528.*

* 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-R1-0528
Input tokens$0.50
Output tokens$2.15
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

548.0B diff

DeepSeek-R1-0528 has 548.0B more parameters than Mistral Large 2, making it 445.5% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
671.0B
DeepSeek-R1-0528
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

DeepSeek-R1-0528 accepts 131,072 input tokens compared to Mistral Large 2's 128,000 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while Mistral Large 2 is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 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-R1-0528 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-R1-0528

MIT

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Mistral Large 2 was released on 2024-07-24.

DeepSeek-R1-0528 is 10 months newer than Mistral Large 2.

DeepSeek-R1-0528

May 28, 2025

1.0 years ago

10mo 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-R1-0528 is available from DeepInfra, DeepSeek, Novita. Mistral Large 2 is available from Google, Mistral AI.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

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
Larger context window (131,072 tokens)
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-R1-0528
Mistral AI
Mistral Large 2

FAQ

Common questions about DeepSeek-R1-0528 vs Mistral Large 2.

Which is better, DeepSeek-R1-0528 or Mistral Large 2?

DeepSeek-R1-0528 (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-R1-0528 compare to Mistral Large 2 in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is DeepSeek-R1-0528 cheaper than Mistral Large 2?

DeepSeek-R1-0528 is 4.0x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/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-R1-0528 and Mistral Large 2?

DeepSeek-R1-0528 supports 131K 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-R1-0528 and Mistral Large 2?

Key differences include context window (131K vs 128K), input pricing ($0.50 vs $2.00/M), licensing (MIT vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and Mistral Large 2?

DeepSeek-R1-0528 is developed by DeepSeek and Mistral Large 2 is developed by Mistral AI.

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