Which is better for coding — DeepSeek-V3.2 (Thinking) or Mistral Large 2?

Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.

Which model is cheaper — DeepSeek-V3.2 (Thinking) or Mistral Large 2?

DeepSeek-V3.2 (Thinking) is cheaper for input: $0.28 per 1M tokens vs $2.00.

Which has a larger context window — DeepSeek-V3.2 (Thinking) or Mistral Large 2?

DeepSeek-V3.2 (Thinking) supports a larger context: 131,072 tokens vs 128,000.

DeepSeek-V3.2 (Thinking) vs Mistral Large 2: Specs & Benchmark Comparison

DeepSeek-V3.2 (Thinking)

DeepSeek

Mistral Large 2

Mistral AI

Characteristic	DeepSeek-V3.2 (Thinking)	Mistral Large 2
Company	DeepSeek	Mistral AI
Release Date	November 30, 2025	July 24, 2024
Parameters	685B	123B
Multimodal	No	No
Context (input)	131K	128K
Context (output)	66K	128K
Input Price / 1M	$0.28	$2.00
Output Price / 1M	$0.42	$6.00
Average Score	0.9	0.9

Verdict

DeepSeek-V3.2 (Thinking) leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, Mistral Large 2 — 0.9.

API Cost

DeepSeek-V3.2 (Thinking) is 11.4x cheaper: input $0.28/1M vs $2.00/1M tokens.

Context Window

DeepSeek-V3.2 (Thinking) supports a larger context: 131K vs 128K tokens.

Recency

DeepSeek-V3.2 (Thinking) is newer: released 11/30/2025 vs 7/24/2024.

More About These Models

DeepSeek-V3.2 (Thinking)

DeepSeek — specs, benchmarks, API

Mistral Large 2

Mistral AI — specs, benchmarks, API

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The DeepSeek-V3.2 (Thinking) and Mistral Large 2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.2 (Thinking) or Mistral Large 2 page. See also the complete list of AI model comparisons.