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Devstral 2 2512 vs Qwen3.5 397B A17B

Qwen3.5 397B A17B leads Devstral 2 2512 on the Artificial Analysis Intelligence Index, 21.4 to 8.6, at about the same output price ($2.34 vs $2.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.

Devstral 2 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
1
vs boards won of 1 shared

Devstral 2 2512 or Qwen3.5 397B A17B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Devstral 2 2512 for output tokens 1.2x cheaper ($2.00 vs $2.34 per million) and work measured by AA Intelligence Index, where it leads.

Shared results
1
Devstral 2 2512 only
5
Qwen3.5 397B A17B only
64
Like-for-like categories
1 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
Devstral 2 2512 not benchmarked, Qwen3.5 397B A17B not benchmarked.
Widest category
Intelligence, 12.8 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: Devstral 2 2512 8.6 against Qwen3.5 397B A17B 21.4, 12.8 points apart on a 0 to 100 scale.
Output price
Devstral 2 2512 $2.00 against Qwen3.5 397B A17B $2.34 per million output tokens, 1.2x apart.
Context window
Both take 262K 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
CategoryDevstral 2 2512BarsQwen3.5 397B A17BTies
Intelligence01
All shared boards01
CodingDirectional onlySix of these boards feed the Vibe Coding Index12 boards, none shared
Coding benchmarks for Devstral 2 2512 and Qwen3.5 397B A17B
BenchmarkDevstral 2 2512Qwen3.5 397B A17BLeader
SWE-bench Verified53.8%Not measuredOnly Devstral 2 2512 measured
LMArena WebDevNot measured1400Only Qwen3.5 397B A17B measured
AA Coding Index31.3Not measuredOnly Devstral 2 2512 measured
LiveCodeBench (Vals AI)51.8%Not measuredOnly Devstral 2 2512 measured
SWE-bench Verified (Vals AI)62.8%Not measuredOnly Devstral 2 2512 measured
SciCodeNot measured44.8%Only Qwen3.5 397B A17B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured40.9%Only Qwen3.5 397B A17B measured
ALE-BenchNot measured621.9Only Qwen3.5 397B A17B measured
LMArena Text: codingNot measured1464Only Qwen3.5 397B A17B measured
LMArena Text: software and ITNot measured1463Only Qwen3.5 397B A17B measured
LMArena WebDev: ReactNot measured1388Only Qwen3.5 397B A17B measured
LMArena WebDev: HTMLNot measured1410Only Qwen3.5 397B A17B measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Devstral 2 2512 and Qwen3.5 397B A17B
BenchmarkDevstral 2 2512Qwen3.5 397B A17BLeader
AA Intelligence Index8.621.4Qwen3.5 397B A17B
Epoch Capabilities IndexNot measured146.8Only Qwen3.5 397B A17B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Devstral 2 2512 and Qwen3.5 397B A17B
BenchmarkDevstral 2 2512Qwen3.5 397B A17BLeader
AA Agentic Index2.3Not measuredOnly Devstral 2 2512 measured
τ²-Bench TelecomNot measured95.6%Only Qwen3.5 397B A17B measured
APEX-AgentsNot measured24.9%Only Qwen3.5 397B A17B measured
Neither model has a result on the other 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Reasoning benchmarks for Devstral 2 2512 and Qwen3.5 397B A17B
BenchmarkDevstral 2 2512Qwen3.5 397B A17BLeader
GPQA Diamond (Artificial Analysis run)Not measured89.3%Only Qwen3.5 397B A17B measured
Humanity's Last Exam (Artificial Analysis run)Not measured29.0%Only Qwen3.5 397B A17B measured
GPQA Diamond (Epoch AI run)Not measured86.4%Only Qwen3.5 397B A17B measured
Mystery game puzzlesNot measured18.0%Only Qwen3.5 397B A17B measured
LMArena Text: hard promptsNot measured1448Only Qwen3.5 397B A17B measured
LMArena Text: expertNot measured1462Only Qwen3.5 397B A17B measured
LMArena Text: hard prompts in EnglishNot measured1450Only Qwen3.5 397B A17B measured
LMArena Vision: diagramsNot measured1277Only Qwen3.5 397B A17B measured
LMArena Vision: homeworkNot measured1292Only Qwen3.5 397B A17B measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Devstral 2 2512 and Qwen3.5 397B A17B
BenchmarkDevstral 2 2512Qwen3.5 397B A17BLeader
OTIS Mock AIMENot measured88.9%Only Qwen3.5 397B A17B measured
FrontierMath, tiers 1 to 3Not measured31.2%Only Qwen3.5 397B A17B measured
LMArena Text: mathNot measured1453Only Qwen3.5 397B A17B measured
LMArena Text: mathematical workNot measured1454Only Qwen3.5 397B A17B measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for Devstral 2 2512 and Qwen3.5 397B A17B
BenchmarkDevstral 2 2512Qwen3.5 397B A17BLeader
LMArena Text: scienceNot measured1457Only Qwen3.5 397B A17B measured
LMArena Text: medicine and healthcareNot measured1455Only Qwen3.5 397B A17B measured
LMArena Text: legal and governmentNot measured1441Only Qwen3.5 397B A17B measured
LMArena Text: business and financeNot measured1435Only Qwen3.5 397B A17B measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Devstral 2 2512 and Qwen3.5 397B A17B
BenchmarkDevstral 2 2512Qwen3.5 397B A17BLeader
Design Arena: websitesNot measured1190Only Qwen3.5 397B A17B measured
Design Arena: UI componentsNot measured1160Only Qwen3.5 397B A17B measured
Design Arena: game devNot measured1140Only Qwen3.5 397B A17B measured
Design Arena: data vizNot measured1175Only Qwen3.5 397B A17B measured
Design Arena: 3DNot measured1160Only Qwen3.5 397B A17B measured
Design Arena: all code categoriesNot measured1179Only Qwen3.5 397B A17B measured
Design Arena: SVGNot measured1139Only Qwen3.5 397B A17B measured
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index29 boards, none shared
General benchmarks for Devstral 2 2512 and Qwen3.5 397B A17B
BenchmarkDevstral 2 2512Qwen3.5 397B A17BLeader
IFBenchNot measured78.8%Only Qwen3.5 397B A17B measured
Long context reasoning (AA-LCR)Not measured77.3%Only Qwen3.5 397B A17B measured
DTBenchNot measured87.5%Only Qwen3.5 397B A17B measured
LMCANot measured37.9%Only Qwen3.5 397B A17B measured
LMArena TextNot measured1437Only Qwen3.5 397B A17B measured
LMArena Text: instruction followingNot measured1424Only Qwen3.5 397B A17B measured
LMArena Text: creative writingNot measured1402Only Qwen3.5 397B A17B measured
LMArena VisionNot measured1262Only Qwen3.5 397B A17B measured
LMArena Text: EnglishNot measured1443Only Qwen3.5 397B A17B measured
LMArena Text: non-EnglishNot measured1430Only Qwen3.5 397B A17B measured
LMArena Text: ChineseNot measured1498Only Qwen3.5 397B A17B measured
LMArena Text: GermanNot measured1445Only Qwen3.5 397B A17B measured
LMArena Text: JapaneseNot measured1429Only Qwen3.5 397B A17B measured
LMArena Text: KoreanNot measured1384Only Qwen3.5 397B A17B measured
LMArena Text: FrenchNot measured1462Only Qwen3.5 397B A17B measured
LMArena Text: SpanishNot measured1441Only Qwen3.5 397B A17B measured
LMArena Text: RussianNot measured1430Only Qwen3.5 397B A17B measured
LMArena Text: PolishNot measured1447Only Qwen3.5 397B A17B measured
LMArena Text: multi-turnNot measured1446Only Qwen3.5 397B A17B measured
LMArena Text: longer queriesNot measured1441Only Qwen3.5 397B A17B measured
LMArena Text: writing and languageNot measured1415Only Qwen3.5 397B A17B measured
LMArena Text: entertainment and mediaNot measured1399Only Qwen3.5 397B A17B measured
LMArena Vision: EnglishNot measured1268Only Qwen3.5 397B A17B measured
LMArena Vision: ChineseNot measured1314Only Qwen3.5 397B A17B measured
LMArena Vision: reading textNot measured1271Only Qwen3.5 397B A17B measured
LMArena Vision: humorNot measured1262Only Qwen3.5 397B A17B measured
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing thingsNot measured1265Only Qwen3.5 397B A17B measured
LMArena Vision: creative writingNot measured1260Only Qwen3.5 397B A17B 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 Devstral 2 2512 and Qwen3.5 397B A17B
BenchmarkDevstral 2 2512Qwen3.5 397B A17BLeader
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

Devstral 2 2512$0.0014Fits in one request
Qwen3.5 397B A17B$0.0016Fits in one request

Devstral 2 2512 costs less

Repository review

50K input + 3K output tokens

Devstral 2 2512$0.026Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Devstral 2 2512 costs less

Agent loop

200K input + 10K output tokens

Devstral 2 2512$0.100Fits in one request
Qwen3.5 397B A17B$0.101Fits in one request

Devstral 2 2512 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 Devstral 2 2512 and Qwen3.5 397B A17B
SpecificationMistral Devstral 2 2512Qwen3.5 397B A17B
MakerMistral AIQwen
WeightsOpen weightsOpen weights
ReleasedDecember 9, 2025February 16, 2026
Context window262K262K
Input $/Mtok$0.40$0.39
Output $/Mtok$2.00$2.34
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved task$1.19Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Devstral 2 2512 better than Qwen3.5 397B A17B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Devstral 2 2512 for output tokens 1.2x cheaper ($2.00 vs $2.34 per million) and work measured by AA Intelligence Index, where it leads.

Which is cheaper, Devstral 2 2512 or Qwen3.5 397B A17B?

Devstral 2 2512 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for Devstral 2 2512 only.

Which has the bigger context window, Devstral 2 2512 or Qwen3.5 397B A17B?

Neither: both take 262K tokens.

How many benchmarks is the Devstral 2 2512 vs Qwen3.5 397B A17B comparison based on?

1 benchmarks have a result for both models as of October 22, 2026. Devstral 2 2512's coding index rests on 1 independent benchmark and Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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