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Claude Opus 4.7 vs MiMo-V2.6-Pro

Claude Opus 4.7 leads MiMo-V2.6-Pro on coding, 67.5 to 65.4 on the Vibe Coding Index, and MiMo-V2.6-Pro costs 28.7x less per output token ($0.87 vs $25.00 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
22
MiMo-V2.6-ProXiaomi
Coding
65.4
Overall
68.4
Output $/M
$0.87
25
vs boards won of 47 shared

Claude Opus 4.7 or MiMo-V2.6-Pro: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 65.4 for MiMo-V2.6-Pro.

Pick MiMo-V2.6-Pro for output tokens 28.7x cheaper ($0.87 vs $25.00 per million) and a larger context window (1.05M against 1M tokens).

Shared results
47
Claude Opus 4.7 only
62
MiMo-V2.6-Pro only
26
Like-for-like categories
7 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
Claude Opus 4.7 67.5 from 4 benchmarks, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
Widest category
Agentic work, 5.8 points apart on average over 5 shared benchmarks.
Widest single gap
ProofBench: Claude Opus 4.7 54.0% against MiMo-V2.6-Pro 70.0%, 16.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against MiMo-V2.6-Pro $0.87 per million output tokens, 28.7x apart.
Context window
Claude Opus 4.7 takes 1M tokens, MiMo-V2.6-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
CategoryClaude Opus 4.7BarsMiMo-V2.6-ProTies
Coding28
Intelligence01
Agentic work14
Reasoning24
Math03
Knowledge41
General134
All shared boards2225
CodingLike-for-likeSix of these boards feed the Vibe Coding Index28
Coding benchmarks for Claude Opus 4.7 and MiMo-V2.6-Pro
BenchmarkClaude Opus 4.7MiMo-V2.6-ProLeader
LiveBench codingNot measured81.5%Only MiMo-V2.6-Pro measured
LMArena WebDev15581625MiMo-V2.6-Pro
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 4 (Vals AI)Not measured31.3%Only MiMo-V2.6-Pro measured
Vibe Code Bench (Vals AI)71.0%85.2%MiMo-V2.6-Pro
Code migration (Vals AI)43.9%43.0%Claude Opus 4.7
ProgramBench (Vals AI)0.0%0.5%MiMo-V2.6-Pro
IOI (Vals AI)Not measured39.3%Only MiMo-V2.6-Pro measured
Terminal-Bench 2.1 (Vals AI)68.5%67.8%Claude Opus 4.7
SWE-bench Multimodal (Vals AI)Not measured41.3%Only MiMo-V2.6-Pro measured
CyberBench (Vals AI)Not measured72.9%Only MiMo-V2.6-Pro measured
SciCodeNot measured60.9%Only MiMo-V2.6-Pro measured
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured1158.1Only MiMo-V2.6-Pro measured
LMArena Text: coding15191533MiMo-V2.6-Pro
LMArena Text: software and IT15161528MiMo-V2.6-Pro
LMArena WebDev: React15601639MiMo-V2.6-Pro
LMArena WebDev: HTML15541616MiMo-V2.6-Pro
LMArena WebDev: from an image15771598MiMo-V2.6-Pro
SWE Atlas: Codebase QnA40.3%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Refactoring48.6%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Test Writing38.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Claude Opus 4.7 and MiMo-V2.6-Pro
BenchmarkClaude Opus 4.7MiMo-V2.6-ProLeader
AA Intelligence Index40.746.3MiMo-V2.6-Pro
Epoch Capabilities Index156.8Not measuredOnly Claude Opus 4.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for Claude Opus 4.7 and MiMo-V2.6-Pro
BenchmarkClaude Opus 4.7MiMo-V2.6-ProLeader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Design Arena: agents building web appsNot measured1290Only MiMo-V2.6-Pro measured
LiveBench researchNot measured76.7%Only MiMo-V2.6-Pro measured
LiveBench browserNot measured88.0%Only MiMo-V2.6-Pro measured
LiveBench long agenticNot measured47.5%Only MiMo-V2.6-Pro measured
SREBench (Vals AI)Not measured3.0%Only MiMo-V2.6-Pro measured
Finance Agent (Vals AI)51.5%57.3%MiMo-V2.6-Pro
Tax Agent Bench (Vals AI)23.7%32.4%MiMo-V2.6-Pro
Legal Research Bench (Vals AI)38.5%47.1%MiMo-V2.6-Pro
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.8%Only MiMo-V2.6-Pro measured
Excel Modeling Benchmark (Vals AI)63.7%62.9%Claude Opus 4.7
Terminal-Bench-Science (Vals AI)Not measured2.9%Only MiMo-V2.6-Pro measured
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%54.4%MiMo-V2.6-Pro
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
MCP Atlas79.1%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for Claude Opus 4.7 and MiMo-V2.6-Pro
BenchmarkClaude Opus 4.7MiMo-V2.6-ProLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
LiveBench reasoningNot measured79.6%Only MiMo-V2.6-Pro measured
MysteryMechanism (Vals AI)Not measured15.3%Only MiMo-V2.6-Pro measured
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%Not measuredOnly Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)42.3%49.4%MiMo-V2.6-Pro
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061511MiMo-V2.6-Pro
LMArena Text: expert15211541MiMo-V2.6-Pro
LMArena Text: hard prompts in English15081520MiMo-V2.6-Pro
LMArena Vision: diagrams13361281Claude Opus 4.7
LMArena Vision: homework13371264Claude Opus 4.7
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Claude Opus 4.7 and MiMo-V2.6-Pro
BenchmarkClaude Opus 4.7MiMo-V2.6-ProLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%70.0%MiMo-V2.6-Pro
LMArena Text: math14981500MiMo-V2.6-Pro
LMArena Text: mathematical work15091511MiMo-V2.6-Pro
MathArena20.4%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Claude Opus 4.7 and MiMo-V2.6-Pro
BenchmarkClaude Opus 4.7MiMo-V2.6-ProLeader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%Not measuredOnly Claude Opus 4.7 measured
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%45.0%Claude Opus 4.7
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science15081506Claude Opus 4.7
LMArena Text: medicine and healthcare14951497MiMo-V2.6-Pro
LMArena Text: legal and government15041485Claude Opus 4.7
LMArena Text: business and finance14901468Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Claude Opus 4.7 and MiMo-V2.6-Pro
BenchmarkClaude Opus 4.7MiMo-V2.6-ProLeader
Design Arena: websitesNot measured1307Only MiMo-V2.6-Pro measured
Design Arena: UI componentsNot measured1337Only MiMo-V2.6-Pro measured
Design Arena: game devNot measured1313Only MiMo-V2.6-Pro measured
Design Arena: data vizNot measured1337Only MiMo-V2.6-Pro measured
Design Arena: 3DNot measured1329Only MiMo-V2.6-Pro measured
Design Arena: all code categoriesNot measured1316Only MiMo-V2.6-Pro measured
LiveBench designNot measured78.5%Only MiMo-V2.6-Pro measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index134
General benchmarks for Claude Opus 4.7 and MiMo-V2.6-Pro
BenchmarkClaude Opus 4.7MiMo-V2.6-ProLeader
Vals IndexNot measured57.8%Only MiMo-V2.6-Pro measured
LiveBench data analysisNot measured72.3%Only MiMo-V2.6-Pro measured
Public Benefits Bench (Vals AI)Not measured68.9%Only MiMo-V2.6-Pro measured
SAGE (Vals AI)56.1%45.0%Claude Opus 4.7
MedScribe (Vals AI)83.0%88.3%MiMo-V2.6-Pro
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%86.3%MiMo-V2.6-Pro
DTBench94.7%Not measuredOnly Claude Opus 4.7 measured
LMCA52.2%Not measuredOnly Claude Opus 4.7 measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901491MiMo-V2.6-Pro
LMArena Text: instruction following14981491Claude Opus 4.7
LMArena Text: creative writing14861466Claude Opus 4.7
LMArena Vision13171263Claude Opus 4.7
LMArena Text: English14961504MiMo-V2.6-Pro
LMArena Text: non-English14801474Claude Opus 4.7
LMArena Text: Chinese15311529Claude Opus 4.7
LMArena Text: German1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Japanese1474Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.7 measured
LMArena Text: French1503Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Spanish1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Russian14941479Claude Opus 4.7
LMArena Text: Polish1489Not measuredOnly Claude Opus 4.7 measured
LMArena Text: multi-turn15051466Claude Opus 4.7
LMArena Text: longer queries15051501Claude Opus 4.7
LMArena Text: writing and language14921470Claude Opus 4.7
LMArena Text: entertainment and media14741465Claude Opus 4.7
LMArena Vision: English13221268Claude Opus 4.7
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text13271270Claude Opus 4.7
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
EQ-Bench 41311Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and MiMo-V2.6-Pro
BenchmarkClaude Opus 4.7MiMo-V2.6-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

Claude Opus 4.7$0.018Fits in one request
MiMo-V2.6-Pro$0.0009Fits in one request

MiMo-V2.6-Pro costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
MiMo-V2.6-Pro$0.024Fits in one request

MiMo-V2.6-Pro costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
MiMo-V2.6-Pro$0.096Fits in one request

MiMo-V2.6-Pro 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 Claude Opus 4.7 and MiMo-V2.6-Pro
SpecificationAnthropic Claude Opus 4.7Xiaomi MiMo-V2.6-Pro
MakerAnthropicXiaomi
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026September 21, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.435
Output $/Mtok$25.00$0.87
Coding index67.565.4
Independent measurements behind it44
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than MiMo-V2.6-Pro for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 65.4 for MiMo-V2.6-Pro. Pick MiMo-V2.6-Pro for output tokens 28.7x cheaper ($0.87 vs $25.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Opus 4.7 or MiMo-V2.6-Pro?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for Claude Opus 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or MiMo-V2.6-Pro?

MiMo-V2.6-Pro, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.7 vs MiMo-V2.6-Pro comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and MiMo-V2.6-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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