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Model comparison

Claude Opus 4.6 vs MiMo-V2.5-Pro

Data verified

Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

68.59/100
Margin
1.6pts
winning →
70.19/100
3 category wins0 category wins

Public leaderboard positions: Claude Opus 4.6 #16 (Supported); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 and MiMo-V2.5-Pro share 18 comparable benchmark results. 3 of 8 categories are comparable. 28 results are unique to Claude Opus 4.6; 13 to MiMo-V2.5-Pro.

Updated July 21, 2026
Shared results
18
Claude Opus 4.6 only
28
MiMo-V2.5-Pro only
13
Comparable categories
3 / 8

Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Claude Opus 4.6 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

MiMo-V2.5-Pro has the cleaner BenchAlign overall profile here, landing at 70.19 versus 68.59. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

MiMo-V2.5-Pro is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Claude Opus 4.6 and MiMo-V2.5-Pro
CategoryClaude Opus 4.6ΔMiMo-V2.5-Pro
KnowledgeClaude Opus 4.669.1Margin 21.1MiMo-V2.5-Pro48.0
CodingClaude Opus 4.668.1Margin 10.9MiMo-V2.5-Pro57.2
AgenticClaude Opus 4.673.0Margin 4.6MiMo-V2.5-Pro68.4
MathClaude Opus 4.636.3MarginNo overlapMiMo-V2.5-ProNot measured
MultimodalClaude Opus 4.677.3MarginNo overlapMiMo-V2.5-ProNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude Opus 4.6B · MiMo-V2.5-Pro
  1. HLE

    Knowledge
    Source ↗
    A 53%B 48%
    Winner: Claude Opus 4.6Δ 5
    HLE: Claude Opus 4.6 scored 53%; MiMo-V2.5-Pro scored 48%. Claude Opus 4.6 wins this benchmark.
  2. SWE-bench Pro

    Coding
    Source ↗
    A 53.4%B 57.2%
    Winner: MiMo-V2.5-ProΔ 3.8
    SWE-bench Pro: Claude Opus 4.6 scored 53.4%; MiMo-V2.5-Pro scored 57.2%. MiMo-V2.5-Pro wins this benchmark.
  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 65.4%B 68.4%
    Winner: MiMo-V2.5-ProΔ 3
    Terminal-Bench 2.0: Claude Opus 4.6 scored 65.4%; MiMo-V2.5-Pro scored 68.4%. MiMo-V2.5-Pro wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude Opus 4.6MiMo-V2.5-ProComparison
Input / output priceUSD per 1M tokensClaude Opus 4.6$5 input / $25 outputMiMo-V2.5-ProNot availableA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.640 tok/sMiMo-V2.5-ProNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.61.78 sMiMo-V2.5-ProNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.61MMiMo-V2.5-Pro1MListed context windows are equal.

Benchmark Deep Dive

AgenticClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6MiMo-V2.5-ProResult
Terminal-Bench 2.0Source 65.4%68.4%MiMo-V2.5-Pro leads
BrowseCompSource 83.7%Not comparable
OSWorld-VerifiedSource 72.7%Not comparable
τ²-bench resultsSource 84.8%94.2%MiMo-V2.5-Pro leads
Claw-EvalSource 70.4%63.8%Claude Opus 4.6 leads
DeepSearchQASource 73.7%Not comparable
CyberGymSource 66.6%Not comparable
Gert LabsSource 61.85%62.70%MiMo-V2.5-Pro leads
ResearchClawBenchSource 19.9%Not comparable
JobBenchSource 36.7%Not comparable
GDPval-AASource 1265Not comparable
τ³-bench resultsSource 72.9%Not comparable
AA Agentic IndexSource 29.1%Not comparable
GDPval-AASource 38.3%Not comparable
APEX-Agents-AASource 2.4%Not comparable
AA BriefcaseSource 873Not comparable
AA ITBenchSource 38.2%Not comparable
terminalBenchHardSource 43.2%Not comparable
aaTerminalBench21Source 65.2%Not comparable
AA Harvey LABSource 73.3%Not comparable
CodingClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6MiMo-V2.5-ProResult
SWE-bench VerifiedSource 80.8%Not comparable
SWE-bench Verified*Source 75.6%Not comparable
LiveCodeBench ProSource 70.7%Not comparable
SWE-bench ProSource 53.4%57.2%MiMo-V2.5-Pro leads
SWE-RebenchSource 65.3%Not comparable
React Native EvalsSource 84.1%Not comparable
Vibe Code BenchSource 57.57%Not comparable
AA-SciCodeSource 45.7%50.2%MiMo-V2.5-Pro leads
FrontierCode 1.1 MainSource 26.9%Not comparable
Terminal-Bench 2.0Source 68.4%Not comparable
AA Coding IndexSource 60.2%Not comparable
Reasoning
BenchmarkClaude Opus 4.6MiMo-V2.5-ProResult
AA-LCRSource 58.3%73.3%MiMo-V2.5-Pro leads
CritPtSource 2.8%4.0%MiMo-V2.5-Pro leads
KnowledgeClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6MiMo-V2.5-ProResult
GPQASource 91.3%Not comparable
GPQA-DSource 89.2%Not comparable
SuperGPQASource 95%Not comparable
MMLU-ProSource 82%Not comparable
MMLU-Pro (Arcee)Source 89.1%Not comparable
HLESource 53%48%Claude Opus 4.6 leads
HLE w/o toolsSource 40%34%Claude Opus 4.6 leads
HealthBench HardSource 14.8%Not comparable
MedXpertQA (Text)Source 52.1%Not comparable
Artificial Analysis Intelligence IndexSource 37.8%42.2%MiMo-V2.5-Pro leads
AA-GPQA DiamondSource 84.0%86.6%MiMo-V2.5-Pro leads
AA-HLESource 18.6%33.8%MiMo-V2.5-Pro leads
AA-Omniscience IndexSource 3.5%3.6%MiMo-V2.5-Pro leads
AA-Omniscience AccuracySource 45.2%22.6%Claude Opus 4.6 leads
AA-Omniscience Hallucination RateSource 76.0%24.5%MiMo-V2.5-Pro leads
AA Openness IndexSource 38.9%Not comparable
Math
BenchmarkClaude Opus 4.6MiMo-V2.5-ProResult
AIME25 (Arcee)Source 99.8%Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%Not comparable
FrontierMath v2 (Tier 4)Source 22.900%Not comparable
Multimodal
BenchmarkClaude Opus 4.6MiMo-V2.5-ProResult
MMMU-ProSource 77.3%Not comparable
ERQASource 51.6%Not comparable
ScreenSpot ProSource 83.1%Not comparable
MedXpertQA (MM)Source 64.8%Not comparable
AA-MMMU-ProSource 72.5%Not comparable
Design Arena WebsiteSource 13251298Claude Opus 4.6 leads
Inst. Following
BenchmarkClaude Opus 4.6MiMo-V2.5-ProResult
AA-IFBenchSource 44.6%79.9%MiMo-V2.5-Pro leads
Frequently Asked Questions (4)

Which is better, Claude Opus 4.6 or MiMo-V2.5-Pro?

MiMo-V2.5-Pro is ahead on BenchLM's BenchAlign leaderboard, 70.19 to 68.59. The biggest single separator in this matchup is HLE, where the scores are 53% and 48%.

Which is better for knowledge tasks, Claude Opus 4.6 or MiMo-V2.5-Pro?

Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 69.1 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Opus 4.6 or MiMo-V2.5-Pro?

Claude Opus 4.6 has the edge for coding in this comparison, averaging 68.1 versus 57.2. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Opus 4.6 or MiMo-V2.5-Pro?

Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 73 versus 68.4. Inside this category, τ²-bench results is the benchmark that creates the most daylight between them.

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Last updated: July 21, 2026

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