Enter opens the highlighted result. Esc closes.

Devstral 2 2512 vs GLM 4.7 Flash

Updated October 21, 2026. 1 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Devstral 2 2512Mistral AI
Coding
No data
Overall
8.6
Output $/M
$2.00
0
GLM 4.7 FlashZ.ai
Coding
No data
Overall
14.9
Output $/M
$0.40
1
vs boards won of 1 shared

Decision reading

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

Devstral 2 2512 has the edge where the context window is larger, 262K against 200K tokens, and where the benchmark that matters is AA Intelligence Index, where it leads.

Shared results
1
Devstral 2 2512 only
5
GLM 4.7 Flash only
42
Like-for-like categories
1 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
Devstral 2 2512 not benchmarked, GLM 4.7 Flash not benchmarked.
Widest category
Intelligence, 6.3 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: Devstral 2 2512 8.6 against GLM 4.7 Flash 14.9, 6.3 points apart on a 0 to 100 scale.
Output price
Devstral 2 2512 $2.00 against GLM 4.7 Flash $0.40 per million output tokens, 5.0x apart.
Context window
Devstral 2 2512 takes 262K tokens, GLM 4.7 Flash 200K.

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 2512BarsGLM 4.7 FlashTies
Intelligence01
All shared boards01
CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards, none shared
Coding benchmarks for Devstral 2 2512 and GLM 4.7 Flash
BenchmarkDevstral 2 2512GLM 4.7 FlashLeader
SWE-bench Verified53.8%Not measuredOnly Devstral 2 2512 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
Terminal-Bench Hard (Artificial Analysis run)Not measured22.0%Only GLM 4.7 Flash measured
LMArena Text: codingNot measured1382Only GLM 4.7 Flash measured
LMArena Text: software and ITNot measured1389Only GLM 4.7 Flash measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Devstral 2 2512 and GLM 4.7 Flash
BenchmarkDevstral 2 2512GLM 4.7 FlashLeader
AA Intelligence Index8.614.9GLM 4.7 Flash
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Devstral 2 2512 and GLM 4.7 Flash
BenchmarkDevstral 2 2512GLM 4.7 FlashLeader
AA Agentic Index2.3Not measuredOnly Devstral 2 2512 measured
τ²-Bench TelecomNot measured98.8%Only GLM 4.7 Flash measured
Neither model has a result on the other 37 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Reasoning benchmarks for Devstral 2 2512 and GLM 4.7 Flash
BenchmarkDevstral 2 2512GLM 4.7 FlashLeader
GPQA Diamond (Artificial Analysis run)Not measured58.1%Only GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured7.6%Only GLM 4.7 Flash measured
GPQA Diamond (Epoch AI run)Not measured60.5%Only GLM 4.7 Flash measured
LMArena Text: hard promptsNot measured1356Only GLM 4.7 Flash measured
LMArena Text: expertNot measured1357Only GLM 4.7 Flash measured
LMArena Text: hard prompts in EnglishNot measured1369Only GLM 4.7 Flash measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Devstral 2 2512 and GLM 4.7 Flash
BenchmarkDevstral 2 2512GLM 4.7 FlashLeader
OTIS Mock AIMENot measured58.3%Only GLM 4.7 Flash measured
LMArena Text: mathNot measured1355Only GLM 4.7 Flash measured
LMArena Text: mathematical workNot measured1369Only GLM 4.7 Flash measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for Devstral 2 2512 and GLM 4.7 Flash
BenchmarkDevstral 2 2512GLM 4.7 FlashLeader
LMArena Text: scienceNot measured1358Only GLM 4.7 Flash measured
LMArena Text: medicine and healthcareNot measured1343Only GLM 4.7 Flash measured
LMArena Text: legal and governmentNot measured1357Only GLM 4.7 Flash measured
LMArena Text: business and financeNot measured1343Only GLM 4.7 Flash measured
Neither model has a result on the other 13 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 GLM 4.7 Flash
BenchmarkDevstral 2 2512GLM 4.7 FlashLeader
Design Arena: websitesNot measured1194Only GLM 4.7 Flash measured
Design Arena: UI componentsNot measured1208Only GLM 4.7 Flash measured
Design Arena: game devNot measured1135Only GLM 4.7 Flash measured
Design Arena: data vizNot measured1123Only GLM 4.7 Flash measured
Design Arena: 3DNot measured1121Only GLM 4.7 Flash measured
Design Arena: all code categoriesNot measured1178Only GLM 4.7 Flash measured
Design Arena: SVGNot measured1038Only GLM 4.7 Flash measured
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
General benchmarks for Devstral 2 2512 and GLM 4.7 Flash
BenchmarkDevstral 2 2512GLM 4.7 FlashLeader
IFBenchNot measured60.8%Only GLM 4.7 Flash measured
Long context reasoning (AA-LCR)Not measured41.7%Only GLM 4.7 Flash measured
LMArena TextNot measured1351Only GLM 4.7 Flash measured
LMArena Text: instruction followingNot measured1327Only GLM 4.7 Flash measured
LMArena Text: creative writingNot measured1296Only GLM 4.7 Flash measured
LMArena Text: EnglishNot measured1373Only GLM 4.7 Flash measured
LMArena Text: non-EnglishNot measured1330Only GLM 4.7 Flash measured
LMArena Text: ChineseNot measured1403Only GLM 4.7 Flash measured
LMArena Text: GermanNot measured1336Only GLM 4.7 Flash measured
LMArena Text: KoreanNot measured1283Only GLM 4.7 Flash measured
LMArena Text: FrenchNot measured1332Only GLM 4.7 Flash measured
LMArena Text: SpanishNot measured1350Only GLM 4.7 Flash measured
LMArena Text: RussianNot measured1333Only GLM 4.7 Flash measured
LMArena Text: PolishNot measured1291Only GLM 4.7 Flash measured
LMArena Text: multi-turnNot measured1342Only GLM 4.7 Flash measured
LMArena Text: longer queriesNot measured1345Only GLM 4.7 Flash measured
LMArena Text: writing and languageNot measured1320Only GLM 4.7 Flash measured
LMArena Text: entertainment and mediaNot measured1304Only GLM 4.7 Flash measured
Neither model has a result on the other 28 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 GLM 4.7 Flash
BenchmarkDevstral 2 2512GLM 4.7 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
GLM 4.7 Flash$0.0003Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

Devstral 2 2512$0.026Fits in one request
GLM 4.7 Flash$0.0045Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

Devstral 2 2512$0.100Fits in one request
GLM 4.7 Flash$0.017Exceeds the context window

GLM 4.7 Flash 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 GLM 4.7 Flash
SpecificationMistral Devstral 2 2512Z.ai GLM 4.7 Flash
MakerMistral AIZ.ai
WeightsOpen weightsOpen weights
ReleasedDecember 9, 2025January 19, 2026
Context window262K200K
Input $/Mtok$0.40$0.0653
Output $/Mtok$2.00$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$1.19Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Devstral 2 2512 better than GLM 4.7 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Devstral 2 2512 has the edge where the context window is larger, 262K against 200K tokens, and where the benchmark that matters is AA Intelligence Index, where it leads.

Which is cheaper, Devstral 2 2512 or GLM 4.7 Flash?

Devstral 2 2512 costs $0.40 per million input tokens and $2.00 per million output tokens; GLM 4.7 Flash costs $0.0653 and $0.40. Cost per solved task is known for Devstral 2 2512 only.

Which has the bigger context window, Devstral 2 2512 or GLM 4.7 Flash?

Devstral 2 2512, with 262K tokens against 200K.

How many benchmarks is the Devstral 2 2512 vs GLM 4.7 Flash comparison based on?

1 benchmarks have a result for both models as of October 21, 2026. Devstral 2 2512's coding index rests on 1 independent benchmark and GLM 4.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next