Enter opens the highlighted result. Esc closes.

DeepSeek V4 Flash 0731 vs Mistral Large 2407

DeepSeek V4 Flash 0731 leads Mistral Large 2407 on the Artificial Analysis Intelligence Index, 34.3 to 7.6, and DeepSeek V4 Flash 0731 costs 21.4x less per output token ($0.28 vs $6.00 per million). Updated October 21, 2026; 8 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0731 Replace Mistral Large 2407
DeepSeek V4 Flash 0731DeepSeek
Coding
51.8
Overall
55.2
Output $/M
$0.28
8
Mistral Large 2407Mistral AI
Coding
No data
Overall
No data
Output $/M
$6.00
0
vs boards won of 8 shared

DeepSeek V4 Flash 0731 or Mistral Large 2407: which to pick

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; Mistral Large 2407 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model ADeepSeek V4 Flash 0731DeepSeek51.8/1004 independent benchmarks$0.01 per solved taskModel BMistral Large 2407Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
8
DeepSeek V4 Flash 0731 only
47
Mistral Large 2407 only
9
Like-for-like categories
4 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.

At a glance

Coding index
DeepSeek V4 Flash 0731 51.8 from 4 benchmarks, Mistral Large 2407 not benchmarked.
Widest category
Math, 86.0 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: DeepSeek V4 Flash 0731 94.4% against Mistral Large 2407 8.5%, 86.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0731 $0.28 against Mistral Large 2407 $6.00 per million output tokens, 21.4x apart.
Context window
DeepSeek V4 Flash 0731 takes 1.05M tokens, Mistral Large 2407 131K.

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
CategoryDeepSeek V4 Flash 0731BarsMistral Large 2407Ties
Intelligence10
Reasoning40
Math10
General20
All shared boards80
CodingDirectional onlySix of these boards feed the Vibe Coding Index16 boards, none shared
Coding benchmarks for DeepSeek V4 Flash 0731 and Mistral Large 2407
BenchmarkDeepSeek V4 Flash 0731Mistral Large 2407Leader
AA Coding Index69.1Not measuredOnly DeepSeek V4 Flash 0731 measured
LiveCodeBench (Vals AI)87.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
SWE-bench Verified (Vals AI)88.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench 4 (Vals AI)18.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Vibe Code Bench (Vals AI)74.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Code migration (Vals AI)38.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
IOI (Vals AI)32.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench 2.1 (Vals AI)67.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
SkillsBench (Vals AI)50.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CyberBench (Vals AI)72.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
LiveCodeBench (Artificial Analysis run)Not measured26.7%Only Mistral Large 2407 measured
SciCode50.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
FrontierCode18.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
WeirdML63.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ALE-Bench1306.1Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0731 and Mistral Large 2407
BenchmarkDeepSeek V4 Flash 0731Mistral Large 2407Leader
AA Intelligence Index34.37.6DeepSeek V4 Flash 0731
Epoch Capabilities Index154.8Not measuredOnly DeepSeek V4 Flash 0731 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0731 and Mistral Large 2407
BenchmarkDeepSeek V4 Flash 0731Mistral Large 2407Leader
AA Agentic Index41.0Not measuredOnly DeepSeek V4 Flash 0731 measured
Finance Agent (Vals AI)49.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
Tax Agent Bench (Vals AI)28.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
Legal Research Bench (Vals AI)30.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
Excel Modeling Benchmark (Vals AI)57.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
BioMysteryBench (Vals AI)64.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
τ²-Bench TelecomNot measured33.0%Only Mistral Large 2407 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V4 Flash 0731 and Mistral Large 2407
BenchmarkDeepSeek V4 Flash 0731Mistral Large 2407Leader
GPQA Diamond89.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
GPQA Diamond (Artificial Analysis run)90.8%47.2%DeepSeek V4 Flash 0731
Humanity's Last Exam (Artificial Analysis run)38.6%2.9%DeepSeek V4 Flash 0731
GPQA Diamond (Epoch AI run)91.0%49.0%DeepSeek V4 Flash 0731
ARC-AGI89.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ARC-AGI-261.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
SimpleBench61.1%22.5%DeepSeek V4 Flash 0731
Chess puzzles32.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Mystery game puzzles34.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for DeepSeek V4 Flash 0731 and Mistral Large 2407
BenchmarkDeepSeek V4 Flash 0731Mistral Large 2407Leader
AA Math IndexNot measured0.0Only Mistral Large 2407 measured
AIME 2025 (Artificial Analysis run)Not measured0.0%Only Mistral Large 2407 measured
OTIS Mock AIME94.4%8.5%DeepSeek V4 Flash 0731
FrontierMath, tiers 1 to 357.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
FrontierMath, tier 424.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProofBench56.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
MATH level 5Not measured44.8%Only Mistral Large 2407 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for DeepSeek V4 Flash 0731 and Mistral Large 2407
BenchmarkDeepSeek V4 Flash 0731Mistral Large 2407Leader
MMLU Pro86.2%Not measuredOnly DeepSeek V4 Flash 0731 measured
LegalBench (Vals AI)77.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CorpFin (Vals AI)61.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
TaxEval (Vals AI)70.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
MedCode (Vals AI)41.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Large 2407 measured
SimpleQA Verified33.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
MMLUNot measured80.0%Only Mistral Large 2407 measured
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Flash 0731 and Mistral Large 2407
BenchmarkDeepSeek V4 Flash 0731Mistral Large 2407Leader
Design Arena: websites1238Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: UI components1235Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: game dev1208Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: data viz1180Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: 3D1209Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: all code categories1230Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: SVG1185Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: ASCII art1090Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for DeepSeek V4 Flash 0731 and Mistral Large 2407
BenchmarkDeepSeek V4 Flash 0731Mistral Large 2407Leader
MedScribe (Vals AI)80.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
IFBenchNot measured31.6%Only Mistral Large 2407 measured
Long context reasoning (AA-LCR)79.7%2.0%DeepSeek V4 Flash 0731
DTBench90.9%61.2%DeepSeek V4 Flash 0731
LMCA41.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Creative writing (Lech Mazur)Not measured69.0%Only Mistral Large 2407 measured
Neither model has a result on the other 40 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0731 and Mistral Large 2407
BenchmarkDeepSeek V4 Flash 0731Mistral Large 2407Leader
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 Flash 0731$0.0003Fits in one request
Mistral Large 2407$0.0050Fits in one request

DeepSeek V4 Flash 0731 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0731$0.0078Fits in one request
Mistral Large 2407$0.118Fits in one request

DeepSeek V4 Flash 0731 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0731$0.031Fits in one request
Mistral Large 2407$0.460Exceeds the context window

DeepSeek V4 Flash 0731 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 Flash 0731 and Mistral Large 2407
SpecificationDeepSeek V4 Flash 0731Mistral Large 2407
MakerDeepSeekMistral AI
WeightsOpen weightsNo public weights listed
ReleasedJuly 31, 2026November 19, 2024
Context window1.05M131K
Input $/Mtok$0.14$2.00
Output $/Mtok$0.28$6.00
Coding index51.8Not benchmarked
Independent measurements behind it40
Cost per solved task$0.01Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0731 better than Mistral Large 2407 for coding?

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; Mistral Large 2407 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, DeepSeek V4 Flash 0731 or Mistral Large 2407?

DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.28 per million output tokens; Mistral Large 2407 costs $2.00 and $6.00. Cost per solved task is known for DeepSeek V4 Flash 0731 only.

Which has the bigger context window, DeepSeek V4 Flash 0731 or Mistral Large 2407?

DeepSeek V4 Flash 0731, with 1.05M tokens against 131K.

How many benchmarks is the DeepSeek V4 Flash 0731 vs Mistral Large 2407 comparison based on?

8 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0731's coding index rests on 4 independent benchmarks and Mistral Large 2407's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next