Is Mistral Large 4 better than Qwen3.8 2.4T A95B?

On accuracy they are statistically tied: Mistral Large 4 scored 50.0% and Qwen3.8 2.4T A95B 57.5% on the same 80 questions from open datasets. Similar accuracy; Mistral Large 4 costs less per question.

Which is cheaper, Mistral Large 4 or Qwen3.8 2.4T A95B?

Mistral Large 4 is cheaper: $0.011 per question as billed, against $0.015. List prices: Mistral Large 4 $1.36 in / $4.18 out, Qwen3.8 2.4T A95B $2 in / $6 out per million tokens.

Which is faster, Mistral Large 4 or Qwen3.8 2.4T A95B?

Mistral Large 4 is faster at 83 output tokens per second, against 44. Time to first token: 1.1 s for Mistral Large 4, 3.1 s for Qwen3.8 2.4T A95B.

Which has the larger context window, Mistral Large 4 or Qwen3.8 2.4T A95B?

Both accept about the same amount of context: 1M and 1M tokens.

Head to head · tested 27 Oct 2026

Mistral Large 4 vs Qwen3.8 2.4T A95B: accuracy, speed and price

Similar accuracy; Mistral Large 4 costs less per question.

MistralMistral Large 450.0% score · #47$0.011 per question83 tok/s

QwenQwen3.8 2.4T A95B57.5% score · #43$0.015 per question44 tok/s

Verdict

Built from the measurements below

Accuracy is too close to call: Mistral Large 4 scored 50.0% and Qwen3.8 2.4T A95B 57.5% on the same 80 questions, a gap within what chance alone could produce.
Mistral Large 4 is 1.3× cheaper per question as billed ($0.011 vs $0.015), reasoning tokens included.
Mistral Large 4 generates text 1.9× faster: 83 tokens per second against 44.
Mistral Large 4 starts answering sooner: 1.1 s to the first token, against 3.1 s for Qwen3.8 2.4T A95B.

Which should you choose?

Choose Mistral Large 4 for the lower cost per correct answer ($0.023 against $0.026), faster streaming and a quicker first token. Choose Qwen3.8 2.4T A95B for open weights you can run yourself and more hosts to choose from on OpenRouter (5 against 1). The widest subject gap is in medicine: Qwen3.8 2.4T A95B answered 4 of 11 correctly, Mistral Large 4 2 of 11. With so few questions per subject, treat this as a lead to test on your own prompts, not a result.

Accuracy gap -7.5 points (z = -0.95). A winner is called only when z is at least 1.96, the usual 95% threshold. Speed, latency and price need a 10% margin.

Head to head

Same questions, same prompt, same API

Measure	Mistral Large 4	Qwen3.8 2.4T A95B	Edge
Verification scoreHigher is better	50.0%	57.5%	Too close to call
Cost per questionLower is better	$0.011	$0.015	Mistral Large 4
Output speedHigher is better	83	44	Mistral Large 4
Time to first tokenLower is better	1.1 s	3.1 s	Mistral Large 4
End-to-end response timeLower is better	9.5 s	14.8 s	Mistral Large 4
Tokens per questionLower is better	2,613	2,408	Similar
Context windowHigher is better	1M	1M	Similar

Side by side

Bars are scaled to the larger of the two values. The winner on each measure is marked in bold.

Every measure

Mistral Large 4 first, Qwen3.8 2.4T A95B second

Verification scorehigher is better

Mistral Large 450.0%

Qwen3.8 2.4T A95B57.5%

Cost per questionlower is better

Mistral Large 4$0.011

Qwen3.8 2.4T A95B$0.015

Output speedhigher is better

Mistral Large 483

Qwen3.8 2.4T A95B44

Time to first tokenlower is better

Mistral Large 41.1 s

Qwen3.8 2.4T A95B3.1 s

End-to-end response timelower is better

Mistral Large 49.5 s

Qwen3.8 2.4T A95B14.8 s

Tokens per questionlower is better

Mistral Large 42,613

Qwen3.8 2.4T A95B2,408

Context windowhigher is better

Mistral Large 41M

Qwen3.8 2.4T A95B1M

Score vs. cost per question

Both models in color, every other model in grey

Results by subject and dataset

Questions answered correctly. Small samples: a gap of one or two questions is noise.

Subject	Questions	Mistral Large 4	Qwen3.8 2.4T A95B
Science	30	20/30	21/30
Engineering	15	3/15	5/15
Medicine	11	2/11	4/11
Economics	9	7/9	7/9
Law	6	2/6	2/6
Humanities & social science	9	6/9	7/9
SuperGPQA dataset	50	17/50	23/50
MMLU-Pro dataset	30	23/30	23/30

Specifications and pricing

From OpenRouter's catalogue, plus the leaderboard's test dates

Specification	Mistral Large 4	Qwen3.8 2.4T A95B
Creator	Mistral	Qwen
Released	6 Oct 2026	12 Aug 2026
Weights	—	Open weights
Reasoning	Yes	Yes
Input	text, image	text
Output	text	text
Context window	1M tokens	1M tokens
Knowledge cutoff	—	—
List price in / out per 1M	$1.36 / $4.18	$2 / $6
Blended price per 1M (3:1)	$2.06	$3.00
Cheapest host	Mistral · $1.36 / $4.18	Novita · $2 / $6
Hosts on OpenRouter	1	5
Last tested	26 Oct 2026	27 Oct 2026

Compare any two models →

Mistral Large 4 vs Qwen3.8 2.4T A95B: frequently asked questions

Is Mistral Large 4 better than Qwen3.8 2.4T A95B?: On accuracy they are statistically tied: Mistral Large 4 scored 50.0% and Qwen3.8 2.4T A95B 57.5% on the same 80 questions from open datasets. Similar accuracy; Mistral Large 4 costs less per question.
Which is cheaper, Mistral Large 4 or Qwen3.8 2.4T A95B?: Mistral Large 4 is cheaper: $0.011 per question as billed, against $0.015. List prices: Mistral Large 4 $1.36 in / $4.18 out, Qwen3.8 2.4T A95B $2 in / $6 out per million tokens.
Which is faster, Mistral Large 4 or Qwen3.8 2.4T A95B?: Mistral Large 4 is faster at 83 output tokens per second, against 44. Time to first token: 1.1 s for Mistral Large 4, 3.1 s for Qwen3.8 2.4T A95B.
Which has the larger context window, Mistral Large 4 or Qwen3.8 2.4T A95B?: Both accept about the same amount of context: 1M and 1M tokens.