DeepSeek V4 Pro 0423 vs Mistral Large 4

Mistral Large 4 leads DeepSeek V4 Pro 0423 on coding, 56.4 to 38.7 on the Vibe Coding Index, and DeepSeek V4 Pro 0423 costs 1.4x less per output token ($2.976 vs $4.18 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0423 Replace Mistral Large 4

DeepSeek V4 Pro 0423DeepSeek

Coding: 38.7
Overall: 50.0
Output $/M: $2.976

Mistral Large 4Mistral AI

Coding: 56.4
Overall: 54.6
Output $/M: $4.18

vs boards won of 60 shared, 1 tied

DeepSeek V4 Pro 0423 or Mistral Large 4: which to pick

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423.

Pick DeepSeek V4 Pro 0423 for output tokens 1.4x cheaper ($2.976 vs $4.18 per million) and work measured by LMArena Text: software and IT or GPQA Diamond (Epoch AI run), where it leads.

Model ADeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved task Model BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task

602421

Shared results: 60
DeepSeek V4 Pro 0423 only: 24
Mistral Large 4 only: 21
Like-for-like categories: 8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

Coding
Vibe Coding Index, six public coding benchmarks
Mistral Large 4
Mistral Large 4 scores 56.4 against 38.7.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 30.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0423 has a AA Agentic Index result, 26.3.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0423 has a GPQA Diamond result, 89.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0423 has a MMLU Pro result, 87.3%.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1257 against 1234.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 $0.0028, Mistral Large 4 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0423 has the number, $0.57.
Directional only

At a glance

Coding index: DeepSeek V4 Pro 0423 38.7 from 5 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category: Coding, 13.9 points apart on average over 10 shared benchmarks.
Widest single gap: FrontierCode: DeepSeek V4 Pro 0423 17.6% against Mistral Large 4 39.4%, 33.5 points apart on a 0 to 100 scale.
Output price: DeepSeek V4 Pro 0423 $2.976 against Mistral Large 4 $4.18 per million output tokens, 1.4x apart.
Context window: Both take 1.05M tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
Category	DeepSeek V4 Pro 0423	Mistral Large 4	Ties
Coding	1	9
Intelligence	0	2
Agentic work	0	4
Reasoning	4	1	1 tie
Math	1	5
Knowledge	5	1
Web design	2	6
General	15	3
All shared boards	28	31	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index19

Coding benchmarks for DeepSeek V4 Pro 0423 and Mistral Large 4
Benchmark	DeepSeek V4 Pro 0423	Mistral Large 4	Leader
LiveBench coding	Not measured	60.0%	Only Mistral Large 4 measured
LMArena WebDev	1447	1543	Mistral Large 4
AA Coding Index	59.4	Not measured	Only DeepSeek V4 Pro 0423 measured
LiveCodeBench (Vals AI)	87.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
SWE-bench Verified (Vals AI)	77.4%	Not measured	Only DeepSeek V4 Pro 0423 measured
Terminal-Bench 4 (Vals AI)	11.1%	27.8%	Mistral Large 4
Vibe Code Bench (Vals AI)	49.9%	78.4%	Mistral Large 4
Code migration (Vals AI)	26.2%	30.6%	Mistral Large 4
ProgramBench (Vals AI)	0.0%	Not measured	Only DeepSeek V4 Pro 0423 measured
IOI (Vals AI)	Not measured	45.3%	Only Mistral Large 4 measured
Terminal-Bench 2.1 (Vals AI)	50.2%	Not measured	Only DeepSeek V4 Pro 0423 measured
SWE-bench Multimodal (Vals AI)	Not measured	33.1%	Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	14.3%	Only Mistral Large 4 measured
SkillsBench (Vals AI)	51.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
SciCode	Not measured	54.2%	Only Mistral Large 4 measured
FrontierCode	17.6%	39.4%	Mistral Large 4
WeirdML	48.9%	Not measured	Only DeepSeek V4 Pro 0423 measured
ALE-Bench	1006.1	1213.2	Mistral Large 4
LMArena Text: coding	1470	1478	Mistral Large 4
LMArena Text: software and IT	1469	1467	DeepSeek V4 Pro 0423
LMArena WebDev: React	1441	1559	Mistral Large 4
LMArena WebDev: HTML	1435	1487	Mistral Large 4
Neither model has a result on the other 17 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for DeepSeek V4 Pro 0423 and Mistral Large 4
Benchmark	DeepSeek V4 Pro 0423	Mistral Large 4	Leader
AA Intelligence Index	30.4	38.4	Mistral Large 4
Epoch Capabilities Index	149.1	150.0	Mistral Large 4

Agentic workLike-for-likePublic boards, shown as published, kept out of the index04

Agentic work benchmarks for DeepSeek V4 Pro 0423 and Mistral Large 4
Benchmark	DeepSeek V4 Pro 0423	Mistral Large 4	Leader
AA Agentic Index	26.3	Not measured	Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building web apps	1000	Not measured	Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack apps	948	Not measured	Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot games	1059	Not measured	Only DeepSeek V4 Pro 0423 measured
LiveBench research	Not measured	28.1%	Only Mistral Large 4 measured
LiveBench browser	Not measured	8.0%	Only Mistral Large 4 measured
LiveBench long agentic	Not measured	11.8%	Only Mistral Large 4 measured
Finance Agent (Vals AI)	44.1%	54.7%	Mistral Large 4
Tax Agent Bench (Vals AI)	25.2%	30.4%	Mistral Large 4
Legal Research Bench (Vals AI)	23.1%	31.7%	Mistral Large 4
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	17.5%	Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)	51.6%	56.2%	Mistral Large 4
BioMysteryBench (Vals AI)	Not measured	67.0%	Only Mistral Large 4 measured
Vending-Bench 2	$3,285	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 27 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index41

Reasoning benchmarks for DeepSeek V4 Pro 0423 and Mistral Large 4
Benchmark	DeepSeek V4 Pro 0423	Mistral Large 4	Leader
GPQA Diamond	89.4%	Not measured	Only DeepSeek V4 Pro 0423 measured
LiveBench reasoning	Not measured	83.9%	Only Mistral Large 4 measured
MysteryMechanism (Vals AI)	Not measured	12.2%	Only Mistral Large 4 measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	35.0%	Only Mistral Large 4 measured
GPQA Diamond (Epoch AI run)	90.9%	88.1%	DeepSeek V4 Pro 0423
Chess puzzles	19.0%	33.0%	Mistral Large 4
Mystery game puzzles	17.0%	17.0%	Tie
LMArena Text: hard prompts	1461	1444	DeepSeek V4 Pro 0423
LMArena Text: expert	1463	1444	DeepSeek V4 Pro 0423
LMArena Text: hard prompts in English	1466	1442	DeepSeek V4 Pro 0423
LMArena Vision: diagrams	Not measured	1288	Only Mistral Large 4 measured
Kagi LLM Benchmark	53.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 10 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index15

Math benchmarks for DeepSeek V4 Pro 0423 and Mistral Large 4
Benchmark	DeepSeek V4 Pro 0423	Mistral Large 4	Leader
OTIS Mock AIME	96.7%	98.3%	Mistral Large 4
FrontierMath, tiers 1 to 3	45.3%	58.6%	Mistral Large 4
FrontierMath, tier 4	2.4%	26.8%	Mistral Large 4
ProofBench	16.0%	10.0%	DeepSeek V4 Pro 0423
LMArena Text: math	1443	1469	Mistral Large 4
LMArena Text: mathematical work	1455	1462	Mistral Large 4
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51

Knowledge benchmarks for DeepSeek V4 Pro 0423 and Mistral Large 4
Benchmark	DeepSeek V4 Pro 0423	Mistral Large 4	Leader
MMLU Pro	87.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
LegalBench (Vals AI)	80.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
CaseLaw (Vals AI)	59.4%	Not measured	Only DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)	61.4%	Not measured	Only DeepSeek V4 Pro 0423 measured
TaxEval (Vals AI)	72.1%	Not measured	Only DeepSeek V4 Pro 0423 measured
MedCode (Vals AI)	40.5%	40.7%	Mistral Large 4
SimpleQA Verified	47.0%	20.0%	DeepSeek V4 Pro 0423
LMArena Text: science	1470	1448	DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare	1466	1433	DeepSeek V4 Pro 0423
LMArena Text: legal and government	1464	1425	DeepSeek V4 Pro 0423
LMArena Text: business and finance	1443	1439	DeepSeek V4 Pro 0423
Neither model has a result on the other 7 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index26

Web design benchmarks for DeepSeek V4 Pro 0423 and Mistral Large 4
Benchmark	DeepSeek V4 Pro 0423	Mistral Large 4	Leader
Design Arena: websites	1234	1257	Mistral Large 4
Design Arena: UI components	1219	1272	Mistral Large 4
Design Arena: game dev	1228	1225	DeepSeek V4 Pro 0423
Design Arena: data viz	1203	1275	Mistral Large 4
Design Arena: 3D	1253	1252	DeepSeek V4 Pro 0423
Design Arena: all code categories	1240	1259	Mistral Large 4
Design Arena: SVG	1139	1232	Mistral Large 4
Design Arena: ASCII art	1149	1202	Mistral Large 4
LiveBench design	Not measured	65.6%	Only Mistral Large 4 measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index153

General benchmarks for DeepSeek V4 Pro 0423 and Mistral Large 4
Benchmark	DeepSeek V4 Pro 0423	Mistral Large 4	Leader
LiveBench data analysis	Not measured	76.5%	Only Mistral Large 4 measured
Public Benefits Bench (Vals AI)	62.9%	Not measured	Only DeepSeek V4 Pro 0423 measured
MedScribe (Vals AI)	75.1%	80.4%	Mistral Large 4
Long context reasoning (AA-LCR)	Not measured	81.3%	Only Mistral Large 4 measured
DTBench	90.7%	88.2%	DeepSeek V4 Pro 0423
LMCA	41.2%	35.8%	DeepSeek V4 Pro 0423
Surface Evolver Bench	40.0%	28.1%	DeepSeek V4 Pro 0423
Furniture assembly	Not measured	20.8%	Only Mistral Large 4 measured
CL-bench Life	13.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text	1451	1431	DeepSeek V4 Pro 0423
LMArena Text: instruction following	1445	1422	DeepSeek V4 Pro 0423
LMArena Text: creative writing	1446	1363	DeepSeek V4 Pro 0423
LMArena Vision	Not measured	1272	Only Mistral Large 4 measured
LMArena Text: English	1459	1433	DeepSeek V4 Pro 0423
LMArena Text: non-English	1439	1422	DeepSeek V4 Pro 0423
LMArena Text: Chinese	1481	1492	Mistral Large 4
LMArena Text: German	1458	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: Japanese	1446	1415	DeepSeek V4 Pro 0423
LMArena Text: Korean	1409	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: French	1473	1492	Mistral Large 4
LMArena Text: Spanish	1457	1455	DeepSeek V4 Pro 0423
LMArena Text: Russian	1453	1417	DeepSeek V4 Pro 0423
LMArena Text: Polish	1461	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: multi-turn	1468	1435	DeepSeek V4 Pro 0423
LMArena Text: longer queries	1458	1428	DeepSeek V4 Pro 0423
LMArena Text: writing and language	1447	1386	DeepSeek V4 Pro 0423
LMArena Text: entertainment and media	1431	1378	DeepSeek V4 Pro 0423
LMArena Vision: English	Not measured	1283	Only Mistral Large 4 measured
LMArena Vision: reading text	Not measured	1284	Only Mistral Large 4 measured
Neither model has a result on the other 17 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for DeepSeek V4 Pro 0423 and Mistral Large 4
Benchmark	DeepSeek V4 Pro 0423	Mistral Large 4	Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V4 Pro 0423$0.0028Fits in one request

Mistral Large 4$0.0034Fits in one request

DeepSeek V4 Pro 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.077Fits in one request

Mistral Large 4$0.081Fits in one request

DeepSeek V4 Pro 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.301Fits in one request

Mistral Large 4$0.314Fits in one request

DeepSeek V4 Pro 0423 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V4 Pro 0423 and Mistral Large 4
Specification	DeepSeek V4 Pro 0423	Mistral Large 4
Maker	DeepSeek	Mistral AI
Weights	Open weights	No public weights listed
Released	April 24, 2026	October 6, 2026
Context window	1.05M	1.05M
Input $/Mtok	$1.358	$1.36
Output $/Mtok	$2.976	$4.18
Coding index	38.7	56.4
Independent measurements behind it	5	5
Cost per solved task	$0.57	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V4 Pro 0423 better than Mistral Large 4 for coding?

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423. Pick DeepSeek V4 Pro 0423 for output tokens 1.4x cheaper ($2.976 vs $4.18 per million) and work measured by LMArena Text: software and IT or GPQA Diamond (Epoch AI run), where it leads.

Which is cheaper, DeepSeek V4 Pro 0423 or Mistral Large 4?

DeepSeek V4 Pro 0423 costs $1.358 per million input tokens and $2.976 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for DeepSeek V4 Pro 0423 only.

Which has the bigger context window, DeepSeek V4 Pro 0423 or Mistral Large 4?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4 Pro 0423 vs Mistral Large 4 comparison based on?

60 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/deepseek-v4-pro-vs-mistral-large-4-0" title="DeepSeek V4 Pro 0423 vs Mistral Large 4, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v4-pro-vs-mistral-large-4-0">LLMBenchmark.ai, DeepSeek V4 Pro 0423 vs Mistral Large 4</a></p>

DeepSeek V4 Pro 0423 or Mistral Large 4: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next