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DeepSeek V3.2 vs Mistral Medium 3

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V3.2 Replace Mistral Medium 3
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
21.5
Output $/M
$0.88
47
Mistral Medium 3Mistral AI
Coding
No data
Overall
9.0
Output $/M
$2.00
0
vs boards won of 47 shared

Decision reading

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model ADeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved taskModel BMistral Medium 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
47
DeepSeek V3.2 only
28
Mistral Medium 3 only
10
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 V3.2 30.0 from 3 benchmarks, Mistral Medium 3 not benchmarked.
Widest category
Agentic work, 66.4 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.2 90.6% against Mistral Medium 3 24.3%, 66.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.88 against Mistral Medium 3 $2.00 per million output tokens, 2.3x apart.
Context window
DeepSeek V3.2 takes 164K tokens, Mistral Medium 3 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 V3.2BarsMistral Medium 3Ties
Coding40
Intelligence20
Agentic work10
Reasoning50
Math40
Knowledge50
Web design60
General200
All shared boards470
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V3.2 and Mistral Medium 3
BenchmarkDeepSeek V3.2Mistral Medium 3Leader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev1362Not measuredOnly DeepSeek V3.2 measured
AA Coding Index44.2Not measuredOnly DeepSeek V3.2 measured
LiveCodeBench (Vals AI)80.7%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Verified (Vals AI)67.6%Not measuredOnly DeepSeek V3.2 measured
Vibe Code Bench (Vals AI)5.1%Not measuredOnly DeepSeek V3.2 measured
LiveCodeBench (Artificial Analysis run)86.2%40.0%DeepSeek V3.2
Terminal-Bench Hard (Artificial Analysis run)35.6%3.8%DeepSeek V3.2
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: coding14531385DeepSeek V3.2
LMArena Text: software and IT14491385DeepSeek V3.2
LMArena WebDev: React1350Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev: HTML1371Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V3.2 and Mistral Medium 3
BenchmarkDeepSeek V3.2Mistral Medium 3Leader
AA Intelligence Index21.59.0DeepSeek V3.2
Epoch Capabilities Index146.1134.0DeepSeek V3.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.2 and Mistral Medium 3
BenchmarkDeepSeek V3.2Mistral Medium 3Leader
τ²-Bench Telecom90.6%24.3%DeepSeek V3.2
APEX-Agents21.3%Not measuredOnly DeepSeek V3.2 measured
Vending-Bench 2$1,034Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for DeepSeek V3.2 and Mistral Medium 3
BenchmarkDeepSeek V3.2Mistral Medium 3Leader
GPQA Diamond80.3%Not measuredOnly DeepSeek V3.2 measured
GPQA Diamond (Artificial Analysis run)84.0%57.8%DeepSeek V3.2
Humanity's Last Exam (Artificial Analysis run)24.6%4.1%DeepSeek V3.2
ARC-AGI57.0%Not measuredOnly DeepSeek V3.2 measured
ARC-AGI-24.0%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: hard prompts14341364DeepSeek V3.2
LMArena Text: expert14361342DeepSeek V3.2
LMArena Text: hard prompts in English14461374DeepSeek V3.2
LMArena Vision: diagramsNot measured1155Only Mistral Medium 3 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for DeepSeek V3.2 and Mistral Medium 3
BenchmarkDeepSeek V3.2Mistral Medium 3Leader
AIME84.6%Not measuredOnly DeepSeek V3.2 measured
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.030.3DeepSeek V3.2
AIME 2025 (Artificial Analysis run)92.0%30.3%DeepSeek V3.2
LMArena Text: math14351353DeepSeek V3.2
LMArena Text: mathematical work14401354DeepSeek V3.2
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.2 and Mistral Medium 3
BenchmarkDeepSeek V3.2Mistral Medium 3Leader
MMLU Pro84.9%Not measuredOnly DeepSeek V3.2 measured
LegalBench (Vals AI)76.1%Not measuredOnly DeepSeek V3.2 measured
CaseLaw (Vals AI)55.4%Not measuredOnly DeepSeek V3.2 measured
CorpFin (Vals AI)51.0%Not measuredOnly DeepSeek V3.2 measured
TaxEval (Vals AI)68.2%Not measuredOnly DeepSeek V3.2 measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MMLU Pro (Artificial Analysis run)86.2%76.0%DeepSeek V3.2
LMArena Text: science14461381DeepSeek V3.2
LMArena Text: medicine and healthcare14401381DeepSeek V3.2
LMArena Text: legal and government14251384DeepSeek V3.2
LMArena Text: business and finance14101352DeepSeek V3.2
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for DeepSeek V3.2 and Mistral Medium 3
BenchmarkDeepSeek V3.2Mistral Medium 3Leader
Design Arena: websites11751079DeepSeek V3.2
Design Arena: UI components11491024DeepSeek V3.2
Design Arena: game dev11311018DeepSeek V3.2
Design Arena: data viz11581034DeepSeek V3.2
Design Arena: 3D11331083DeepSeek V3.2
Design Arena: all code categories11641069DeepSeek V3.2
Design Arena: SVG1032Not measuredOnly DeepSeek V3.2 measured
Design Arena: ASCII art1082Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
General benchmarks for DeepSeek V3.2 and Mistral Medium 3
BenchmarkDeepSeek V3.2Mistral Medium 3Leader
IFBench60.7%39.3%DeepSeek V3.2
Long context reasoning (AA-LCR)73.3%31.3%DeepSeek V3.2
DTBench85.6%62.3%DeepSeek V3.2
LMCA28.8%Not measuredOnly DeepSeek V3.2 measured
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251370DeepSeek V3.2
LMArena Text: instruction following14131338DeepSeek V3.2
LMArena Text: creative writing14001343DeepSeek V3.2
LMArena VisionNot measured1157Only Mistral Medium 3 measured
LMArena Text: English14391385DeepSeek V3.2
LMArena Text: non-English14091353DeepSeek V3.2
LMArena Text: Chinese14551374DeepSeek V3.2
LMArena Text: German14131377DeepSeek V3.2
LMArena Text: Japanese13741316DeepSeek V3.2
LMArena Text: Korean13701304DeepSeek V3.2
LMArena Text: French14291368DeepSeek V3.2
LMArena Text: Spanish14241364DeepSeek V3.2
LMArena Text: Russian14241359DeepSeek V3.2
LMArena Text: Polish14191371DeepSeek V3.2
LMArena Text: multi-turn14271384DeepSeek V3.2
LMArena Text: longer queries14281360DeepSeek V3.2
LMArena Text: writing and language14071352DeepSeek V3.2
LMArena Text: entertainment and media13951335DeepSeek V3.2
LMArena Vision: EnglishNot measured1172Only Mistral Medium 3 measured
LMArena Vision: ChineseNot measured1161Only Mistral Medium 3 measured
LMArena Vision: reading textNot measured1154Only Mistral Medium 3 measured
LMArena Vision: humorNot measured1145Only Mistral Medium 3 measured
LMArena Vision: captioningNot measured1094Only Mistral Medium 3 measured
LMArena Vision: recognizing thingsNot measured1141Only Mistral Medium 3 measured
LMArena Vision: creative writingNot measured1146Only Mistral Medium 3 measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.2 and Mistral Medium 3
BenchmarkDeepSeek V3.2Mistral Medium 3Leader
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 V3.2$0.0007Fits in one request
Mistral Medium 3$0.0014Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.017Fits in one request
Mistral Medium 3$0.026Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.067Exceeds the context window
Mistral Medium 3$0.100Exceeds the context window

DeepSeek V3.2 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 V3.2 and Mistral Medium 3
SpecificationDeepSeek V3.2Mistral Medium 3
MakerDeepSeekMistral AI
WeightsOpen weightsNo public weights listed
ReleasedDecember 1, 2025May 7, 2025
Context window164K131K
Input $/Mtok$0.29$0.40
Output $/Mtok$0.88$2.00
Coding index30.0Not benchmarked
Independent measurements behind it30
Cost per solved task$0.99Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 better than Mistral Medium 3 for coding?

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, DeepSeek V3.2 or Mistral Medium 3?

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for DeepSeek V3.2 only.

Which has the bigger context window, DeepSeek V3.2 or Mistral Medium 3?

DeepSeek V3.2, with 164K tokens against 131K.

How many benchmarks is the DeepSeek V3.2 vs Mistral Medium 3 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks and Mistral Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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