Which is better for coding — GPT-5.4 nano 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 — GPT-5.4 nano or Mistral Large 2?

GPT-5.4 nano is cheaper for input: $0.12 per 1M tokens vs $2.00.

Which has a larger context window — GPT-5.4 nano or Mistral Large 2?

GPT-5.4 nano supports a larger context: 400,000 tokens vs 128,000.

GPT-5.4 nano vs Mistral Large 2: Specs & Benchmark Comparison

Characteristic	GPT-5.4 nano	Mistral Large 2
Company	OpenAI	Mistral AI
Release Date	March 1, 2026	July 24, 2024
Parameters	—	123B
Multimodal	Yes	No
Context (input)	400K	128K
Context (output)	128K	128K
Input Price / 1M	$0.12	$2.00
Output Price / 1M	$1.50	$6.00
Average Score	0.7	0.9

Verdict

GPT-5.4 nano leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GPT-5.4 nano — 0.7, Mistral Large 2 — 0.9.

API Cost

GPT-5.4 nano is 4.9x cheaper: input $0.12/1M vs $2.00/1M tokens.

Context Window

GPT-5.4 nano supports a larger context: 400K vs 128K tokens.

Recency

GPT-5.4 nano is newer: released 3/1/2026 vs 7/24/2024.

More About These Models

GPT-5.4 nano

OpenAI — specs, benchmarks, API

Mistral Large 2

Mistral AI — specs, benchmarks, API

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All model comparisons →

The GPT-5.4 nano 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 GPT-5.4 nano or Mistral Large 2 page. See also the complete list of AI model comparisons.