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Grok 4.7 vs MiMo-V2.5

Grok 4.7 leads MiMo-V2.5 on coding, 66.7 to 50.0 on the Vibe Coding Index, and MiMo-V2.5 costs 17.9x less per output token ($0.336 vs $6.00 per million). Updated October 21, 2026; 60 benchmarks have a result for both.

Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
27
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
33
vs boards won of 60 shared

Grok 4.7 or MiMo-V2.5: which to pick

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 50.0 for MiMo-V2.5.

Pick MiMo-V2.5 for output tokens 17.9x cheaper ($0.336 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).

Shared results
60
Grok 4.7 only
39
MiMo-V2.5 only
20
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
Grok 4.7 66.7 from 5 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Intelligence, 24.6 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): Grok 4.7 86.2% against MiMo-V2.5 42.2%, 44.0 points apart on a 0 to 100 scale.
Output price
Grok 4.7 $6.00 against MiMo-V2.5 $0.336 per million output tokens, 17.9x apart.
Context window
Grok 4.7 takes 500K tokens, MiMo-V2.5 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
CategoryGrok 4.7BarsMiMo-V2.5Ties
Coding72
Intelligence10
Agentic work40
Reasoning24
Math12
Knowledge24
Web design42
General619
All shared boards2733
CodingLike-for-likeSix of these boards feed the Vibe Coding Index72
Coding benchmarks for Grok 4.7 and MiMo-V2.5
BenchmarkGrok 4.7MiMo-V2.5Leader
LiveBench coding84.5%Not measuredOnly Grok 4.7 measured
LMArena WebDev16371438Grok 4.7
AA Coding IndexNot measured56.8Only MiMo-V2.5 measured
LiveCodeBench (Vals AI)Not measured81.5%Only MiMo-V2.5 measured
SWE-bench Verified (Vals AI)Not measured71.0%Only MiMo-V2.5 measured
Terminal-Bench 4 (Vals AI)28.8%Not measuredOnly Grok 4.7 measured
Vibe Code Bench (Vals AI)86.2%42.2%Grok 4.7
Code migration (Vals AI)44.8%14.2%Grok 4.7
ProgramBench (Vals AI)0.5%Not measuredOnly Grok 4.7 measured
IOI (Vals AI)57.7%Not measuredOnly Grok 4.7 measured
Terminal-Bench 2.1 (Vals AI)73.4%60.7%Grok 4.7
SWE-bench Multimodal (Vals AI)42.9%Not measuredOnly Grok 4.7 measured
CyberBench (Vals AI)69.5%Not measuredOnly Grok 4.7 measured
SciCode57.8%43.9%Grok 4.7
Terminal-Bench Hard (Artificial Analysis run)Not measured41.7%Only MiMo-V2.5 measured
FrontierCode47.6%Not measuredOnly Grok 4.7 measured
FrontierSWE29.5%Not measuredOnly Grok 4.7 measured
ALE-BenchNot measured514.0Only MiMo-V2.5 measured
LMArena Text: coding14321469MiMo-V2.5
LMArena Text: software and IT14211463MiMo-V2.5
LMArena WebDev: React16631425Grok 4.7
LMArena WebDev: HTML16271429Grok 4.7
LMArena WebDev: from an image1586Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Grok 4.7 and MiMo-V2.5
BenchmarkGrok 4.7MiMo-V2.5Leader
AA Intelligence Index46.421.8Grok 4.7
Epoch Capabilities Index154.4Not measuredOnly Grok 4.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Grok 4.7 and MiMo-V2.5
BenchmarkGrok 4.7MiMo-V2.5Leader
AA Agentic IndexNot measured15.8Only MiMo-V2.5 measured
LiveBench research86.4%Not measuredOnly Grok 4.7 measured
LiveBench browser60.0%Not measuredOnly Grok 4.7 measured
LiveBench long agentic50.1%Not measuredOnly Grok 4.7 measured
SREBench (Vals AI)3.8%Not measuredOnly Grok 4.7 measured
Finance Agent (Vals AI)52.3%36.7%Grok 4.7
Tax Agent Bench (Vals AI)34.2%7.8%Grok 4.7
Legal Research Bench (Vals AI)47.1%9.1%Grok 4.7
Harvey's Legal Agent Benchmark (Vals AI)18.3%Not measuredOnly Grok 4.7 measured
Excel Modeling Benchmark (Vals AI)67.0%55.1%Grok 4.7
BioMysteryBench (Vals AI)69.3%Not measuredOnly Grok 4.7 measured
Terminal-Bench-Science (Vals AI)10.0%Not measuredOnly Grok 4.7 measured
Vals Science Index34.8%Not measuredOnly Grok 4.7 measured
Robo-bench (Vals AI)0.2%Not measuredOnly Grok 4.7 measured
τ²-Bench TelecomNot measured90.6%Only MiMo-V2.5 measured
APEX-Agents54.6%Not measuredOnly Grok 4.7 measured
Vending-Bench 2$10,537Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for Grok 4.7 and MiMo-V2.5
BenchmarkGrok 4.7MiMo-V2.5Leader
GPQA DiamondNot measured81.6%Only MiMo-V2.5 measured
LiveBench reasoning82.7%Not measuredOnly Grok 4.7 measured
MysteryMechanism (Vals AI)25.2%Not measuredOnly Grok 4.7 measured
MMMU Pro (Vals AI)Not measured80.0%Only MiMo-V2.5 measured
GPQA Diamond (Artificial Analysis run)Not measured84.9%Only MiMo-V2.5 measured
Humanity's Last Exam (Artificial Analysis run)43.1%27.2%Grok 4.7
GPQA Diamond (Epoch AI run)92.7%Not measuredOnly Grok 4.7 measured
ARC-AGI90.2%Not measuredOnly Grok 4.7 measured
ARC-AGI-261.4%Not measuredOnly Grok 4.7 measured
Chess puzzles41.0%Not measuredOnly Grok 4.7 measured
Mystery game puzzles29.0%Not measuredOnly Grok 4.7 measured
LMArena Text: hard prompts14151450MiMo-V2.5
LMArena Text: expert14391459MiMo-V2.5
LMArena Text: hard prompts in English14271461MiMo-V2.5
LMArena Vision: diagrams12541269MiMo-V2.5
LMArena Vision: homework13091262Grok 4.7
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for Grok 4.7 and MiMo-V2.5
BenchmarkGrok 4.7MiMo-V2.5Leader
OTIS Mock AIME98.1%Not measuredOnly Grok 4.7 measured
FrontierMath, tiers 1 to 353.0%Not measuredOnly Grok 4.7 measured
FrontierMath, tier 417.1%Not measuredOnly Grok 4.7 measured
ProofBench26.0%16.0%Grok 4.7
LMArena Text: math14141436MiMo-V2.5
LMArena Text: mathematical work14351451MiMo-V2.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
Knowledge benchmarks for Grok 4.7 and MiMo-V2.5
BenchmarkGrok 4.7MiMo-V2.5Leader
MMLU ProNot measured82.9%Only MiMo-V2.5 measured
LegalBench (Vals AI)84.4%78.9%Grok 4.7
CorpFin (Vals AI)Not measured59.9%Only MiMo-V2.5 measured
TaxEval (Vals AI)Not measured71.8%Only MiMo-V2.5 measured
MortgageTax (Vals AI)Not measured59.3%Only MiMo-V2.5 measured
MedCode (Vals AI)49.5%31.9%Grok 4.7
SimpleQA Verified56.0%Not measuredOnly Grok 4.7 measured
LMArena Text: science14191440MiMo-V2.5
LMArena Text: medicine and healthcare13951432MiMo-V2.5
LMArena Text: legal and government14231425MiMo-V2.5
LMArena Text: business and finance13891432MiMo-V2.5
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index42
Web design benchmarks for Grok 4.7 and MiMo-V2.5
BenchmarkGrok 4.7MiMo-V2.5Leader
Design Arena: websites12541266MiMo-V2.5
Design Arena: UI components12751258Grok 4.7
Design Arena: game dev13131249Grok 4.7
Design Arena: data viz12351249MiMo-V2.5
Design Arena: 3D12701216Grok 4.7
Design Arena: all code categories12711260Grok 4.7
Design Arena: SVGNot measured1178Only MiMo-V2.5 measured
Design Arena: ASCII artNot measured1140Only MiMo-V2.5 measured
LiveBench design78.0%Not measuredOnly Grok 4.7 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index619
General benchmarks for Grok 4.7 and MiMo-V2.5
BenchmarkGrok 4.7MiMo-V2.5Leader
Vals Index58.6%Not measuredOnly Grok 4.7 measured
LiveBench data analysis76.9%Not measuredOnly Grok 4.7 measured
Public Benefits Bench (Vals AI)65.6%Not measuredOnly Grok 4.7 measured
SAGE (Vals AI)40.8%43.3%MiMo-V2.5
MedScribe (Vals AI)89.4%72.2%Grok 4.7
Vals Multimodal IndexNot measured52.8%Only MiMo-V2.5 measured
IFBenchNot measured67.1%Only MiMo-V2.5 measured
Long context reasoning (AA-LCR)80.0%73.0%Grok 4.7
DTBench96.0%Not measuredOnly Grok 4.7 measured
LMCA49.4%Not measuredOnly Grok 4.7 measured
Furniture assembly20.8%Not measuredOnly Grok 4.7 measured
LMArena Text13991428MiMo-V2.5
LMArena Text: instruction following14061435MiMo-V2.5
LMArena Text: creative writing13811393MiMo-V2.5
LMArena Vision12311247MiMo-V2.5
LMArena Text: English14111447MiMo-V2.5
LMArena Text: non-English13861405MiMo-V2.5
LMArena Text: Chinese14491469MiMo-V2.5
LMArena Text: German13661421MiMo-V2.5
LMArena Text: Japanese13591306Grok 4.7
LMArena Text: Korean13831361Grok 4.7
LMArena Text: French14311448MiMo-V2.5
LMArena Text: Spanish14061414MiMo-V2.5
LMArena Text: Russian13991396Grok 4.7
LMArena Text: Polish14201413Grok 4.7
LMArena Text: multi-turn13941445MiMo-V2.5
LMArena Text: longer queries14161445MiMo-V2.5
LMArena Text: writing and language13941409MiMo-V2.5
LMArena Text: entertainment and media13761399MiMo-V2.5
LMArena Vision: English12291259MiMo-V2.5
LMArena Vision: Chinese12501326MiMo-V2.5
LMArena Vision: reading text12411256MiMo-V2.5
LMArena Vision: humorNot measured1226Only MiMo-V2.5 measured
LMArena Vision: recognizing thingsNot measured1189Only MiMo-V2.5 measured
LMArena Vision: creative writing12171230MiMo-V2.5
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.7 and MiMo-V2.5
BenchmarkGrok 4.7MiMo-V2.5Leader
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

Grok 4.7$0.0050Fits in one request
MiMo-V2.5$0.0003Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

Grok 4.7$0.118Fits in one request
MiMo-V2.5$0.0094Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

Grok 4.7$0.460Fits in one request
MiMo-V2.5$0.037Fits in one request

MiMo-V2.5 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 Grok 4.7 and MiMo-V2.5
SpecificationSpaceXAI Grok 4.7Xiaomi MiMo-V2.5
MakerxAIXiaomi
WeightsNo public weights listedOpen weights
ReleasedSeptember 21, 2026April 22, 2026
Context window500K1.05M
Input $/Mtok$2.00$0.168
Output $/Mtok$6.00$0.336
Coding index66.750.0
Independent measurements behind it53
Cost per solved taskNot computable$0.01
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.7 better than MiMo-V2.5 for coding?

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 50.0 for MiMo-V2.5. Pick MiMo-V2.5 for output tokens 17.9x cheaper ($0.336 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).

Which is cheaper, Grok 4.7 or MiMo-V2.5?

Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Cost per solved task is known for MiMo-V2.5 only.

Which has the bigger context window, Grok 4.7 or MiMo-V2.5?

MiMo-V2.5, with 1.05M tokens against 500K.

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

60 benchmarks have a result for both models as of October 21, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and MiMo-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/grok-4-7-vs-xiaomi-mimo-v2-5" title="Grok 4.7 vs MiMo-V2.5, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/grok-4-7-vs-xiaomi-mimo-v2-5">LLMBenchmark.ai, Grok 4.7 vs MiMo-V2.5</a></p>