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GLM 4.7 Flash vs MiMo-V2.5-Pro

MiMo-V2.5-Pro leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 26.0 to 14.9, and GLM 4.7 Flash costs 2.3x less per output token ($0.40 vs $0.9152 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

Replace GLM 4.7 Flash Replace MiMo-V2.5-Pro
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
1
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
40
vs boards won of 41 shared

GLM 4.7 Flash or MiMo-V2.5-Pro: which to pick

Only MiMo-V2.5-Pro has a coding score, 31.6 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding.

Pick GLM 4.7 Flash for output tokens 2.3x cheaper ($0.40 vs $0.9152 per million) and work measured by τ²-Bench Telecom, where it leads.

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
41
GLM 4.7 Flash only
2
MiMo-V2.5-Pro only
29
Like-for-like categories
8 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
GLM 4.7 Flash not benchmarked, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Reasoning, 24.6 points apart on average over 5 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.7 Flash 41.7% against MiMo-V2.5-Pro 79.7%, 38.0 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against MiMo-V2.5-Pro $0.9152 per million output tokens, 2.3x apart.
Context window
GLM 4.7 Flash takes 200K tokens, MiMo-V2.5-Pro 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
CategoryGLM 4.7 FlashBarsMiMo-V2.5-ProTies
Coding03
Intelligence01
Agentic work10
Reasoning05
Math02
Knowledge04
Web design07
General018
All shared boards140
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.7 Flash and MiMo-V2.5-Pro
BenchmarkGLM 4.7 FlashMiMo-V2.5-ProLeader
LMArena WebDevNot measured1480Only MiMo-V2.5-Pro measured
AA Coding IndexNot measured60.2Only MiMo-V2.5-Pro measured
LiveCodeBench (Vals AI)Not measured81.3%Only MiMo-V2.5-Pro measured
SWE-bench Verified (Vals AI)Not measured74.0%Only MiMo-V2.5-Pro measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)Not measured34.1%Only MiMo-V2.5-Pro measured
Code migration (Vals AI)Not measured21.6%Only MiMo-V2.5-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured57.3%Only MiMo-V2.5-Pro measured
SciCodeNot measured50.6%Only MiMo-V2.5-Pro measured
Terminal-Bench Hard (Artificial Analysis run)22.0%43.2%MiMo-V2.5-Pro
ALE-BenchNot measured899.8Only MiMo-V2.5-Pro measured
LMArena Text: coding13821501MiMo-V2.5-Pro
LMArena Text: software and IT13891495MiMo-V2.5-Pro
LMArena WebDev: ReactNot measured1469Only MiMo-V2.5-Pro measured
LMArena WebDev: HTMLNot measured1473Only MiMo-V2.5-Pro measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.7 Flash and MiMo-V2.5-Pro
BenchmarkGLM 4.7 FlashMiMo-V2.5-ProLeader
AA Intelligence Index14.926.0MiMo-V2.5-Pro
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.7 Flash and MiMo-V2.5-Pro
BenchmarkGLM 4.7 FlashMiMo-V2.5-ProLeader
AA Agentic IndexNot measured21.3Only MiMo-V2.5-Pro measured
Finance Agent (Vals AI)Not measured41.5%Only MiMo-V2.5-Pro measured
Tax Agent Bench (Vals AI)Not measured11.5%Only MiMo-V2.5-Pro measured
Legal Research Bench (Vals AI)Not measured15.9%Only MiMo-V2.5-Pro measured
Excel Modeling Benchmark (Vals AI)Not measured55.2%Only MiMo-V2.5-Pro measured
τ²-Bench Telecom98.8%94.2%GLM 4.7 Flash
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.7 Flash and MiMo-V2.5-Pro
BenchmarkGLM 4.7 FlashMiMo-V2.5-ProLeader
GPQA DiamondNot measured82.6%Only MiMo-V2.5-Pro measured
GPQA Diamond (Artificial Analysis run)58.1%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)7.6%35.7%MiMo-V2.5-Pro
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts13561486MiMo-V2.5-Pro
LMArena Text: expert13571501MiMo-V2.5-Pro
LMArena Text: hard prompts in English13691494MiMo-V2.5-Pro
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.7 Flash and MiMo-V2.5-Pro
BenchmarkGLM 4.7 FlashMiMo-V2.5-ProLeader
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math13551481MiMo-V2.5-Pro
LMArena Text: mathematical work13691491MiMo-V2.5-Pro
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.7 Flash and MiMo-V2.5-Pro
BenchmarkGLM 4.7 FlashMiMo-V2.5-ProLeader
MMLU ProNot measured84.6%Only MiMo-V2.5-Pro measured
LegalBench (Vals AI)Not measured77.1%Only MiMo-V2.5-Pro measured
CorpFin (Vals AI)Not measured61.4%Only MiMo-V2.5-Pro measured
TaxEval (Vals AI)Not measured73.8%Only MiMo-V2.5-Pro measured
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
LMArena Text: science13581482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare13431473MiMo-V2.5-Pro
LMArena Text: legal and government13571474MiMo-V2.5-Pro
LMArena Text: business and finance13431466MiMo-V2.5-Pro
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.7 Flash and MiMo-V2.5-Pro
BenchmarkGLM 4.7 FlashMiMo-V2.5-ProLeader
Design Arena: websites11941267MiMo-V2.5-Pro
Design Arena: UI components12081249MiMo-V2.5-Pro
Design Arena: game dev11351262MiMo-V2.5-Pro
Design Arena: data viz11231257MiMo-V2.5-Pro
Design Arena: 3D11211244MiMo-V2.5-Pro
Design Arena: all code categories11781266MiMo-V2.5-Pro
Design Arena: SVG10381181MiMo-V2.5-Pro
Design Arena: ASCII artNot measured1156Only MiMo-V2.5-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GLM 4.7 Flash and MiMo-V2.5-Pro
BenchmarkGLM 4.7 FlashMiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBench60.8%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)41.7%79.7%MiMo-V2.5-Pro
DTBenchNot measured84.5%Only MiMo-V2.5-Pro measured
LMCANot measured29.5%Only MiMo-V2.5-Pro measured
LMArena Text13511464MiMo-V2.5-Pro
LMArena Text: instruction following13271475MiMo-V2.5-Pro
LMArena Text: creative writing12961438MiMo-V2.5-Pro
LMArena Text: English13731477MiMo-V2.5-Pro
LMArena Text: non-English13301448MiMo-V2.5-Pro
LMArena Text: Chinese14031507MiMo-V2.5-Pro
LMArena Text: German13361459MiMo-V2.5-Pro
LMArena Text: JapaneseNot measured1410Only MiMo-V2.5-Pro measured
LMArena Text: Korean12831435MiMo-V2.5-Pro
LMArena Text: French13321487MiMo-V2.5-Pro
LMArena Text: Spanish13501469MiMo-V2.5-Pro
LMArena Text: Russian13331449MiMo-V2.5-Pro
LMArena Text: Polish12911464MiMo-V2.5-Pro
LMArena Text: multi-turn13421476MiMo-V2.5-Pro
LMArena Text: longer queries13451481MiMo-V2.5-Pro
LMArena Text: writing and language13201451MiMo-V2.5-Pro
LMArena Text: entertainment and media13041438MiMo-V2.5-Pro
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.7 Flash and MiMo-V2.5-Pro
BenchmarkGLM 4.7 FlashMiMo-V2.5-ProLeader
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

GLM 4.7 Flash$0.0003Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

GLM 4.7 Flash$0.0045Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 4.7 Flash$0.017Exceeds the context window
MiMo-V2.5-Pro$0.101Fits in one request

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 GLM 4.7 Flash and MiMo-V2.5-Pro
SpecificationZ.ai GLM 4.7 FlashXiaomi MiMo-V2.5-Pro
MakerZ.aiXiaomi
WeightsOpen weightsOpen weights
ReleasedJanuary 19, 2026April 22, 2026
Context window200K1.05M
Input $/Mtok$0.0653$0.4575
Output $/Mtok$0.40$0.9152
Coding indexNot benchmarked31.6
Independent measurements behind it04
Cost per solved taskNot computable$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than MiMo-V2.5-Pro for coding?

Only MiMo-V2.5-Pro has a coding score, 31.6 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding. Pick GLM 4.7 Flash for output tokens 2.3x cheaper ($0.40 vs $0.9152 per million) and work measured by τ²-Bench Telecom, where it leads.

Which is cheaper, GLM 4.7 Flash or MiMo-V2.5-Pro?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Cost per solved task is known for MiMo-V2.5-Pro only.

Which has the bigger context window, GLM 4.7 Flash or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 200K.

How many benchmarks is the GLM 4.7 Flash vs MiMo-V2.5-Pro comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. GLM 4.7 Flash's coding index rests on 0 independent benchmarks and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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