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Devstral 2 2512 vs Gemini 3.6 Flash

Gemini 3.6 Flash leads Devstral 2 2512 on the Artificial Analysis Intelligence Index, 34.0 to 8.6, and Devstral 2 2512 costs 1.9x less per output token ($2.00 vs $3.75 per million). Updated October 22, 2026; 5 benchmarks have a result for both.

Devstral 2 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
5
vs boards won of 5 shared

Devstral 2 2512 or Gemini 3.6 Flash: which to pick

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Devstral 2 2512 has none, so the two cannot be ranked on coding.

Pick Devstral 2 2512 for output tokens 1.9x cheaper ($2.00 vs $3.75 per million) and a lower cost per solved task ($1.19 against $1.49).

Shared results
5
Devstral 2 2512 only
1
Gemini 3.6 Flash only
105
Like-for-like categories
3 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, Gemini 3.6 Flash 62.5 from 4 benchmarks.
Widest category
Coding, 30.3 points apart on average over 3 shared benchmarks.
Widest single gap
AA Coding Index: Devstral 2 2512 31.3 against Gemini 3.6 Flash 69.2, 37.9 points apart on a 0 to 100 scale.
Output price
Devstral 2 2512 $2.00 against Gemini 3.6 Flash $3.75 per million output tokens, 1.9x apart.
Context window
Devstral 2 2512 takes 262K tokens, Gemini 3.6 Flash 1.05M.

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 2512BarsGemini 3.6 FlashTies
Coding03
Intelligence01
Agentic work01
All shared boards05
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Devstral 2 2512 and Gemini 3.6 Flash
BenchmarkDevstral 2 2512Gemini 3.6 FlashLeader
SWE-bench Verified53.8%Not measuredOnly Devstral 2 2512 measured
LMArena WebDevNot measured1538Only Gemini 3.6 Flash measured
AA Coding Index31.369.2Gemini 3.6 Flash
LiveCodeBench (Vals AI)51.8%88.1%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)62.8%79.6%Gemini 3.6 Flash
Vibe Code Bench (Vals AI)Not measured64.0%Only Gemini 3.6 Flash measured
Code migration (Vals AI)Not measured30.9%Only Gemini 3.6 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.6 Flash measured
IOI (Vals AI)Not measured35.1%Only Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured73.8%Only Gemini 3.6 Flash measured
CyberBench (Vals AI)Not measured45.4%Only Gemini 3.6 Flash measured
SciCodeNot measured53.4%Only Gemini 3.6 Flash measured
FrontierCodeNot measured34.4%Only Gemini 3.6 Flash measured
WeirdMLNot measured56.1%Only Gemini 3.6 Flash measured
ALE-BenchNot measured715.5Only Gemini 3.6 Flash measured
LMArena Text: codingNot measured1491Only Gemini 3.6 Flash measured
LMArena Text: software and ITNot measured1492Only Gemini 3.6 Flash measured
LMArena WebDev: ReactNot measured1528Only Gemini 3.6 Flash measured
LMArena WebDev: HTMLNot measured1547Only Gemini 3.6 Flash measured
LMArena WebDev: from an imageNot measured1545Only Gemini 3.6 Flash measured
SciCodeNot measured10.8%Only Gemini 3.6 Flash measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Devstral 2 2512 and Gemini 3.6 Flash
BenchmarkDevstral 2 2512Gemini 3.6 FlashLeader
AA Intelligence Index8.634.0Gemini 3.6 Flash
Epoch Capabilities IndexNot measured154.5Only Gemini 3.6 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Devstral 2 2512 and Gemini 3.6 Flash
BenchmarkDevstral 2 2512Gemini 3.6 FlashLeader
AA Agentic Index2.329.0Gemini 3.6 Flash
Design Arena: agents building web appsNot measured1197Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack appsNot measured1181Only Gemini 3.6 Flash measured
Design Arena: agents building mobile appsNot measured1196Only Gemini 3.6 Flash measured
Design Arena: agents building Android appsNot measured1203Only Gemini 3.6 Flash measured
Design Arena: agents building gamesNot measured1180Only Gemini 3.6 Flash measured
Design Arena: HTML slidesNot measured1088Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slidesNot measured1118Only Gemini 3.6 Flash measured
Design Arena: spreadsheetsNot measured1072Only Gemini 3.6 Flash measured
Finance Agent (Vals AI)Not measured56.3%Only Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)Not measured18.0%Only Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)Not measured25.0%Only Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured65.4%Only Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)Not measured58.5%Only Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Gemini 3.6 Flash measured
APEX-AgentsNot measured46.9%Only Gemini 3.6 Flash measured
Neither model has a result on the other 26 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Reasoning benchmarks for Devstral 2 2512 and Gemini 3.6 Flash
BenchmarkDevstral 2 2512Gemini 3.6 FlashLeader
GPQA DiamondNot measured93.4%Only Gemini 3.6 Flash measured
MMMU Pro (Vals AI)Not measured88.4%Only Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)Not measured92.8%Only Gemini 3.6 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured40.8%Only Gemini 3.6 Flash measured
GPQA Diamond (Epoch AI run)Not measured94.1%Only Gemini 3.6 Flash measured
ARC-AGINot measured91.2%Only Gemini 3.6 Flash measured
ARC-AGI-2Not measured60.4%Only Gemini 3.6 Flash measured
Chess puzzlesNot measured42.0%Only Gemini 3.6 Flash measured
Mystery game puzzlesNot measured30.0%Only Gemini 3.6 Flash measured
LMArena Text: hard promptsNot measured1486Only Gemini 3.6 Flash measured
LMArena Text: expertNot measured1490Only Gemini 3.6 Flash measured
LMArena Text: hard prompts in EnglishNot measured1484Only Gemini 3.6 Flash measured
LMArena Vision: diagramsNot measured1314Only Gemini 3.6 Flash measured
LMArena Vision: homeworkNot measured1314Only Gemini 3.6 Flash measured
Neither model has a result on the other 9 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Devstral 2 2512 and Gemini 3.6 Flash
BenchmarkDevstral 2 2512Gemini 3.6 FlashLeader
OTIS Mock AIMENot measured94.2%Only Gemini 3.6 Flash measured
FrontierMath, tiers 1 to 3Not measured58.9%Only Gemini 3.6 Flash measured
FrontierMath, tier 4Not measured22.0%Only Gemini 3.6 Flash measured
ProofBenchNot measured36.0%Only Gemini 3.6 Flash measured
LMArena Text: mathNot measured1508Only Gemini 3.6 Flash measured
LMArena Text: mathematical workNot measured1492Only Gemini 3.6 Flash measured
MathArenaNot measured23.9%Only Gemini 3.6 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Devstral 2 2512 and Gemini 3.6 Flash
BenchmarkDevstral 2 2512Gemini 3.6 FlashLeader
MMLU ProNot measured89.3%Only Gemini 3.6 Flash measured
LegalBench (Vals AI)Not measured86.7%Only Gemini 3.6 Flash measured
CorpFin (Vals AI)Not measured63.3%Only Gemini 3.6 Flash measured
TaxEval (Vals AI)Not measured74.9%Only Gemini 3.6 Flash measured
MortgageTax (Vals AI)Not measured67.6%Only Gemini 3.6 Flash measured
MedCode (Vals AI)Not measured53.1%Only Gemini 3.6 Flash measured
SimpleQA VerifiedNot measured66.2%Only Gemini 3.6 Flash measured
LMArena Text: scienceNot measured1489Only Gemini 3.6 Flash measured
LMArena Text: medicine and healthcareNot measured1469Only Gemini 3.6 Flash measured
LMArena Text: legal and governmentNot measured1479Only Gemini 3.6 Flash measured
LMArena Text: business and financeNot measured1464Only Gemini 3.6 Flash measured
FACTS Benchmark SuiteNot measured65.3%Only Gemini 3.6 Flash measured
Neither model has a result on the other 8 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 Gemini 3.6 Flash
BenchmarkDevstral 2 2512Gemini 3.6 FlashLeader
Design Arena: websitesNot measured1300Only Gemini 3.6 Flash measured
Design Arena: UI componentsNot measured1295Only Gemini 3.6 Flash measured
Design Arena: game devNot measured1263Only Gemini 3.6 Flash measured
Design Arena: data vizNot measured1289Only Gemini 3.6 Flash measured
Design Arena: 3DNot measured1271Only Gemini 3.6 Flash measured
Design Arena: all code categoriesNot measured1289Only Gemini 3.6 Flash measured
Design Arena: ASCII artNot measured1281Only Gemini 3.6 Flash measured
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index32 boards, none shared
General benchmarks for Devstral 2 2512 and Gemini 3.6 Flash
BenchmarkDevstral 2 2512Gemini 3.6 FlashLeader
Public Benefits Bench (Vals AI)Not measured56.6%Only Gemini 3.6 Flash measured
SAGE (Vals AI)Not measured48.7%Only Gemini 3.6 Flash measured
MedScribe (Vals AI)Not measured79.7%Only Gemini 3.6 Flash measured
Vals Multimodal IndexNot measured65.1%Only Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)Not measured80.0%Only Gemini 3.6 Flash measured
DTBenchNot measured95.5%Only Gemini 3.6 Flash measured
LMCANot measured44.9%Only Gemini 3.6 Flash measured
Furniture assemblyNot measured23.3%Only Gemini 3.6 Flash measured
LMArena TextNot measured1480Only Gemini 3.6 Flash measured
LMArena Text: instruction followingNot measured1467Only Gemini 3.6 Flash measured
LMArena Text: creative writingNot measured1466Only Gemini 3.6 Flash measured
LMArena VisionNot measured1299Only Gemini 3.6 Flash measured
LMArena Text: EnglishNot measured1482Only Gemini 3.6 Flash measured
LMArena Text: non-EnglishNot measured1470Only Gemini 3.6 Flash measured
LMArena Text: ChineseNot measured1531Only Gemini 3.6 Flash measured
LMArena Text: GermanNot measured1480Only Gemini 3.6 Flash measured
LMArena Text: JapaneseNot measured1475Only Gemini 3.6 Flash measured
LMArena Text: KoreanNot measured1429Only Gemini 3.6 Flash measured
LMArena Text: FrenchNot measured1503Only Gemini 3.6 Flash measured
LMArena Text: SpanishNot measured1476Only Gemini 3.6 Flash measured
LMArena Text: RussianNot measured1488Only Gemini 3.6 Flash measured
LMArena Text: PolishNot measured1473Only Gemini 3.6 Flash measured
LMArena Text: multi-turnNot measured1481Only Gemini 3.6 Flash measured
LMArena Text: longer queriesNot measured1475Only Gemini 3.6 Flash measured
LMArena Text: writing and languageNot measured1470Only Gemini 3.6 Flash measured
LMArena Text: entertainment and mediaNot measured1456Only Gemini 3.6 Flash measured
LMArena Vision: EnglishNot measured1295Only Gemini 3.6 Flash measured
LMArena Vision: ChineseNot measured1357Only Gemini 3.6 Flash measured
LMArena Vision: reading textNot measured1312Only Gemini 3.6 Flash measured
LMArena Vision: humorNot measured1289Only Gemini 3.6 Flash measured
LMArena Vision: creative writingNot measured1278Only Gemini 3.6 Flash measured
LMArena DocumentNot measured1456Only Gemini 3.6 Flash measured
Neither model has a result on the other 16 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 Gemini 3.6 Flash
BenchmarkDevstral 2 2512Gemini 3.6 FlashLeader
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
Gemini 3.6 Flash$0.0026Fits in one request

Devstral 2 2512 costs less

Repository review

50K input + 3K output tokens

Devstral 2 2512$0.026Fits in one request
Gemini 3.6 Flash$0.049Fits in one request

Devstral 2 2512 costs less

Agent loop

200K input + 10K output tokens

Devstral 2 2512$0.100Fits in one request
Gemini 3.6 Flash$0.188Fits 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 Gemini 3.6 Flash
SpecificationMistral Devstral 2 2512Google Gemini 3.6 Flash
MakerMistral AIGoogle
WeightsOpen weightsNo public weights listed
ReleasedDecember 9, 2025July 21, 2026
Context window262K1.05M
Input $/Mtok$0.40$0.75
Output $/Mtok$2.00$3.75
Coding indexNot benchmarked62.5
Independent measurements behind it14
Cost per solved task$1.19$1.49
SourceOpenRouter listingOpenRouter listing

Questions

Is Devstral 2 2512 better than Gemini 3.6 Flash for coding?

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Devstral 2 2512 has none, so the two cannot be ranked on coding. Pick Devstral 2 2512 for output tokens 1.9x cheaper ($2.00 vs $3.75 per million) and a lower cost per solved task ($1.19 against $1.49).

Which is cheaper, Devstral 2 2512 or Gemini 3.6 Flash?

Devstral 2 2512 costs $0.40 per million input tokens and $2.00 per million output tokens; Gemini 3.6 Flash costs $0.75 and $3.75. Per solved SWE-bench Verified task, Devstral 2 2512 costs $1.19 and Gemini 3.6 Flash $1.49.

Which has the bigger context window, Devstral 2 2512 or Gemini 3.6 Flash?

Gemini 3.6 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Devstral 2 2512 vs Gemini 3.6 Flash comparison based on?

5 benchmarks have a result for both models as of October 22, 2026. Devstral 2 2512's coding index rests on 1 independent benchmark and Gemini 3.6 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.

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