Which is better for coding — DeepSeek-V3.2-Exp 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-Exp or Mistral Large 2?

DeepSeek-V3.2-Exp is cheaper for input: $0.27 per 1M tokens vs $2.00.

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

DeepSeek-V3.2-Exp supports a larger context: 163,840 tokens vs 128,000.

DeepSeek-V3.2-Exp vs Mistral Large 2: Specs & Benchmark Comparison

Characteristic	DeepSeek-V3.2-Exp	Mistral Large 2
Company	DeepSeek	Mistral AI
Release Date	September 28, 2025	July 24, 2024
Parameters	685B	123B
Multimodal	No	No
Context (input)	164K	128K
Context (output)	66K	128K
Input Price / 1M	$0.27	$2.00
Output Price / 1M	$0.41	$6.00
Average Score	0.8	0.9

Verdict

DeepSeek-V3.2-Exp leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V3.2-Exp — 0.8, Mistral Large 2 — 0.9.

API Cost

DeepSeek-V3.2-Exp is 11.8x cheaper: input $0.27/1M vs $2.00/1M tokens.

Context Window

DeepSeek-V3.2-Exp supports a larger context: 164K vs 128K tokens.

Recency

DeepSeek-V3.2-Exp is newer: released 9/28/2025 vs 7/24/2024.

More About These Models

DeepSeek-V3.2-Exp

DeepSeek — specs, benchmarks, API

Mistral Large 2

Mistral AI — specs, benchmarks, API

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The DeepSeek-V3.2-Exp 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-Exp or Mistral Large 2 page. See also the complete list of AI model comparisons.