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Codestral 2508 vs Gemini 3.6 Flash

Codestral 2508 costs 4.2x less per output token than Gemini 3.6 Flash ($0.90 vs $3.75 per million). Updated October 21, 2026; 7 benchmarks have a result for both.

Codestral 2508Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.90
0
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
7
vs boards won of 7 shared

Codestral 2508 or Gemini 3.6 Flash: which to pick

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Codestral 2508 has none, so the two cannot be ranked on coding.

Pick Codestral 2508 for output tokens 4.2x cheaper ($0.90 vs $3.75 per million).

Shared results
7
Codestral 2508 only
1
Gemini 3.6 Flash only
102
Like-for-like categories
2 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
Codestral 2508 not benchmarked, Gemini 3.6 Flash 62.5 from 4 benchmarks.
Widest category
Web design, 34.8 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: game dev: Codestral 2508 968 against Gemini 3.6 Flash 1263, 36.9 points apart on a 0 to 100 scale.
Output price
Codestral 2508 $0.90 against Gemini 3.6 Flash $3.75 per million output tokens, 4.2x apart.
Context window
Codestral 2508 takes 256K 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
CategoryCodestral 2508BarsGemini 3.6 FlashTies
Coding01
Web design06
All shared boards07
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Codestral 2508 and Gemini 3.6 Flash
BenchmarkCodestral 2508Gemini 3.6 FlashLeader
LMArena WebDevNot measured1538Only Gemini 3.6 Flash measured
AA Coding IndexNot measured69.2Only Gemini 3.6 Flash measured
LiveCodeBench (Vals AI)Not measured88.1%Only Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)Not measured79.6%Only Gemini 3.6 Flash measured
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-Bench137.8715.5Gemini 3.6 Flash
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 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Codestral 2508 and Gemini 3.6 Flash
BenchmarkCodestral 2508Gemini 3.6 FlashLeader
AA Intelligence IndexNot measured34.0Only Gemini 3.6 Flash measured
Epoch Capabilities IndexNot measured154.5Only Gemini 3.6 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Codestral 2508 and Gemini 3.6 Flash
BenchmarkCodestral 2508Gemini 3.6 FlashLeader
AA Agentic IndexNot measured29.0Only Gemini 3.6 Flash measured
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 measured1199Only Gemini 3.6 Flash measured
Design Arena: agents building Android appsNot measured1203Only Gemini 3.6 Flash measured
Design Arena: agents building gamesNot measured1181Only Gemini 3.6 Flash measured
Design Arena: HTML slidesNot measured1148Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slidesNot measured1146Only Gemini 3.6 Flash measured
Design Arena: spreadsheetsNot measured1034Only 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 25 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Reasoning benchmarks for Codestral 2508 and Gemini 3.6 Flash
BenchmarkCodestral 2508Gemini 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
Kagi LLM Benchmark32.5%Not measuredOnly Codestral 2508 measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Codestral 2508 and Gemini 3.6 Flash
BenchmarkCodestral 2508Gemini 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
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 Codestral 2508 and Gemini 3.6 Flash
BenchmarkCodestral 2508Gemini 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 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Codestral 2508 and Gemini 3.6 Flash
BenchmarkCodestral 2508Gemini 3.6 FlashLeader
Design Arena: websites10131300Gemini 3.6 Flash
Design Arena: UI components10171297Gemini 3.6 Flash
Design Arena: game dev9681263Gemini 3.6 Flash
Design Arena: data viz10171289Gemini 3.6 Flash
Design Arena: 3D10201272Gemini 3.6 Flash
Design Arena: all code categories10071290Gemini 3.6 Flash
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 Codestral 2508 and Gemini 3.6 Flash
BenchmarkCodestral 2508Gemini 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 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Codestral 2508 and Gemini 3.6 Flash
BenchmarkCodestral 2508Gemini 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

Codestral 2508$0.0008Fits in one request
Gemini 3.6 Flash$0.0026Fits in one request

Codestral 2508 costs less

Repository review

50K input + 3K output tokens

Codestral 2508$0.018Fits in one request
Gemini 3.6 Flash$0.049Fits in one request

Codestral 2508 costs less

Agent loop

200K input + 10K output tokens

Codestral 2508$0.069Fits in one request
Gemini 3.6 Flash$0.188Fits in one request

Codestral 2508 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 Codestral 2508 and Gemini 3.6 Flash
SpecificationMistral Codestral 2508Google Gemini 3.6 Flash
MakerMistral AIGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 1, 2025July 21, 2026
Context window256K1.05M
Input $/Mtok$0.30$0.75
Output $/Mtok$0.90$3.75
Coding indexNot benchmarked62.5
Independent measurements behind it04
Cost per solved taskNot computable$1.49
SourceOpenRouter listingOpenRouter listing

Questions

Is Codestral 2508 better than Gemini 3.6 Flash for coding?

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Codestral 2508 has none, so the two cannot be ranked on coding. Pick Codestral 2508 for output tokens 4.2x cheaper ($0.90 vs $3.75 per million).

Which is cheaper, Codestral 2508 or Gemini 3.6 Flash?

Codestral 2508 costs $0.30 per million input tokens and $0.90 per million output tokens; Gemini 3.6 Flash costs $0.75 and $3.75. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Codestral 2508 or Gemini 3.6 Flash?

Gemini 3.6 Flash, with 1.05M tokens against 256K.

How many benchmarks is the Codestral 2508 vs Gemini 3.6 Flash comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Codestral 2508's coding index rests on 0 independent benchmarks 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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