Enter opens the highlighted result. Esc closes.

Claude Opus 4.7 vs MiMo-V2.6-Flash

Claude Opus 4.7 leads MiMo-V2.6-Flash on coding, 67.5 to 54.7 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 89.3x less per output token ($0.28 vs $25.00 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
41
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
12
vs boards won of 53 shared

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

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 54.7 for MiMo-V2.6-Flash.

Pick MiMo-V2.6-Flash for output tokens 89.3x cheaper ($0.28 vs $25.00 per million) and a larger context window (1.05M against 1M tokens).

Shared results
53
Claude Opus 4.7 only
50
MiMo-V2.6-Flash only
13
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-Flash 54.7 from 3 benchmarks.
Widest category
Knowledge, 9.5 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Claude Opus 4.7 1474 against MiMo-V2.6-Flash 1359, 19.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against MiMo-V2.6-Flash $0.28 per million output tokens, 89.3x apart.
Context window
Claude Opus 4.7 takes 1M tokens, MiMo-V2.6-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
CategoryClaude Opus 4.7BarsMiMo-V2.6-FlashTies
Coding37
Intelligence10
Agentic work13
Reasoning60
Math21
Knowledge50
General231
All shared boards4112
CodingLike-for-likeSix of these boards feed the Vibe Coding Index37
Coding benchmarks for Claude Opus 4.7 and MiMo-V2.6-Flash
BenchmarkClaude Opus 4.7MiMo-V2.6-FlashLeader
LMArena WebDev15581634MiMo-V2.6-Flash
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 measured24.2%Only MiMo-V2.6-Flash measured
Vibe Code Bench (Vals AI)71.0%79.0%MiMo-V2.6-Flash
Code migration (Vals AI)43.9%40.9%Claude Opus 4.7
ProgramBench (Vals AI)0.0%0.5%MiMo-V2.6-Flash
IOI (Vals AI)Not measured47.7%Only MiMo-V2.6-Flash measured
Terminal-Bench 2.1 (Vals AI)68.5%76.4%MiMo-V2.6-Flash
CyberBench (Vals AI)Not measured75.4%Only MiMo-V2.6-Flash measured
SciCodeNot measured51.3%Only MiMo-V2.6-Flash 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 measured1244.2Only MiMo-V2.6-Flash measured
LMArena Text: coding15191499Claude Opus 4.7
LMArena Text: software and IT15161497Claude Opus 4.7
LMArena WebDev: React15601648MiMo-V2.6-Flash
LMArena WebDev: HTML15541641MiMo-V2.6-Flash
LMArena WebDev: from an image15771596MiMo-V2.6-Flash
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.7 and MiMo-V2.6-Flash
BenchmarkClaude Opus 4.7MiMo-V2.6-FlashLeader
AA Intelligence Index40.737.9Claude Opus 4.7
Epoch Capabilities Index156.8Not measuredOnly Claude Opus 4.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index13
Agentic work benchmarks for Claude Opus 4.7 and MiMo-V2.6-Flash
BenchmarkClaude Opus 4.7MiMo-V2.6-FlashLeader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
SREBench (Vals AI)Not measured4.2%Only MiMo-V2.6-Flash measured
Finance Agent (Vals AI)51.5%56.3%MiMo-V2.6-Flash
Tax Agent Bench (Vals AI)23.7%28.5%MiMo-V2.6-Flash
Legal Research Bench (Vals AI)38.5%38.0%Claude Opus 4.7
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.3%Only MiMo-V2.6-Flash measured
Excel Modeling Benchmark (Vals AI)63.7%65.5%MiMo-V2.6-Flash
BioMysteryBench (Vals AI)Not measured69.3%Only MiMo-V2.6-Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only MiMo-V2.6-Flash measured
Vals Science IndexNot measured31.7%Only MiMo-V2.6-Flash measured
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
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
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.7 and MiMo-V2.6-Flash
BenchmarkClaude Opus 4.7MiMo-V2.6-FlashLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash 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%35.1%Claude Opus 4.7
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 prompts15061475Claude Opus 4.7
LMArena Text: expert15211496Claude Opus 4.7
LMArena Text: hard prompts in English15081493Claude Opus 4.7
LMArena Vision: diagrams13361276Claude Opus 4.7
LMArena Vision: homework13371283Claude 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 index21
Math benchmarks for Claude Opus 4.7 and MiMo-V2.6-Flash
BenchmarkClaude Opus 4.7MiMo-V2.6-FlashLeader
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%63.0%MiMo-V2.6-Flash
LMArena Text: math14981476Claude Opus 4.7
LMArena Text: mathematical work15091478Claude Opus 4.7
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Opus 4.7 and MiMo-V2.6-Flash
BenchmarkClaude Opus 4.7MiMo-V2.6-FlashLeader
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%41.1%Claude Opus 4.7
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science15081462Claude Opus 4.7
LMArena Text: medicine and healthcare14951439Claude Opus 4.7
LMArena Text: legal and government15041441Claude Opus 4.7
LMArena Text: business and finance14901454Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Claude Opus 4.7 and MiMo-V2.6-Flash
BenchmarkClaude Opus 4.7MiMo-V2.6-FlashLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index231
General benchmarks for Claude Opus 4.7 and MiMo-V2.6-Flash
BenchmarkClaude Opus 4.7MiMo-V2.6-FlashLeader
Vals IndexNot measured54.8%Only MiMo-V2.6-Flash measured
Public Benefits Bench (Vals AI)Not measured67.6%Only MiMo-V2.6-Flash measured
SAGE (Vals AI)56.1%43.5%Claude Opus 4.7
MedScribe (Vals AI)83.0%85.3%MiMo-V2.6-Flash
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%74.3%Claude Opus 4.7
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 Text14901453Claude Opus 4.7
LMArena Text: instruction following14981452Claude Opus 4.7
LMArena Text: creative writing14861403Claude Opus 4.7
LMArena Vision13171256Claude Opus 4.7
LMArena Text: English14961476Claude Opus 4.7
LMArena Text: non-English14801431Claude Opus 4.7
LMArena Text: Chinese15311509Claude Opus 4.7
LMArena Text: German14951458Claude Opus 4.7
LMArena Text: Japanese14741359Claude Opus 4.7
LMArena Text: Korean14641425Claude Opus 4.7
LMArena Text: French15031480Claude Opus 4.7
LMArena Text: Spanish14941453Claude Opus 4.7
LMArena Text: Russian14941409Claude Opus 4.7
LMArena Text: Polish14891455Claude Opus 4.7
LMArena Text: multi-turn15051447Claude Opus 4.7
LMArena Text: longer queries15051459Claude Opus 4.7
LMArena Text: writing and language14921424Claude Opus 4.7
LMArena Text: entertainment and media14741415Claude Opus 4.7
LMArena Vision: English13221269Claude 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 writing13261231Claude Opus 4.7
LMArena Document1495Not 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-Flash
BenchmarkClaude Opus 4.7MiMo-V2.6-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

Claude Opus 4.7$0.018Fits in one request
MiMo-V2.6-Flash$0.0003Fits in one request

MiMo-V2.6-Flash costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

MiMo-V2.6-Flash costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
MiMo-V2.6-Flash$0.031Fits in one request

MiMo-V2.6-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 Claude Opus 4.7 and MiMo-V2.6-Flash
SpecificationAnthropic Claude Opus 4.7Xiaomi MiMo-V2.6-Flash
MakerAnthropicXiaomi
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026September 21, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.14
Output $/Mtok$25.00$0.28
Coding index67.554.7
Independent measurements behind it43
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 54.7 for MiMo-V2.6-Flash. Pick MiMo-V2.6-Flash for output tokens 89.3x cheaper ($0.28 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-Flash?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. 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-Flash?

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

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

53 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-Flash's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-opus-4-7-vs-xiaomi-mimo-v2-6-flash" title="Claude Opus 4.7 vs MiMo-V2.6-Flash, 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/claude-opus-4-7-vs-xiaomi-mimo-v2-6-flash">LLMBenchmark.ai, Claude Opus 4.7 vs MiMo-V2.6-Flash</a></p>