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Model comparison

Grok 4.1 Fast (Reasoning) vs MiMo-V2-Omni

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Margin
2.6pts
winning →
63.15/100
0 category wins0 category wins

Public leaderboard positions: Grok 4.1 Fast (Reasoning) #48 (Supported); MiMo-V2-Omni #40 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Grok 4.1 Fast (Reasoning) and MiMo-V2-Omni share 12 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Grok 4.1 Fast (Reasoning); 2 to MiMo-V2-Omni.

Updated July 23, 2026
Shared results
12
Grok 4.1 Fast (Reasoning) only
1
MiMo-V2-Omni only
2
Comparable categories
0 / 8

Benchmark data for Grok 4.1 Fast (Reasoning) and MiMo-V2-Omni is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Grok 4.1 Fast (Reasoning) has the larger context window at 2M, compared with 262K for MiMo-V2-Omni.

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 Grok 4.1 Fast (Reasoning) and MiMo-V2-Omni
CategoryGrok 4.1 Fast (Reasoning)ΔMiMo-V2-Omni
CodingGrok 4.1 Fast (Reasoning)Not measuredMarginNo overlapMiMo-V2-Omni74.8

Operational comparison

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

MetricGrok 4.1 Fast (Reasoning)MiMo-V2-OmniComparison
Input / output priceUSD per 1M tokensGrok 4.1 Fast (Reasoning)Not availableMiMo-V2-OmniNot availableA complete price comparison is not available.
Generation speedtokens per secondGrok 4.1 Fast (Reasoning)Not availableMiMo-V2-OmniNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGrok 4.1 Fast (Reasoning)Not availableMiMo-V2-OmniNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGrok 4.1 Fast (Reasoning)2MMiMo-V2-Omni262KGrok 4.1 Fast (Reasoning) lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGrok 4.1 Fast (Reasoning)MiMo-V2-OmniResult
τ²-bench resultsSource 93.3%91.2%Grok 4.1 Fast (Reasoning) leads
Claw-EvalSource 45.2%Not comparable
Coding
BenchmarkGrok 4.1 Fast (Reasoning)MiMo-V2-OmniResult
Vibe Code BenchSource 1.20%Not comparable
AA-SciCodeSource 44.2%36.7%Grok 4.1 Fast (Reasoning) leads
SWE-bench VerifiedSource 74.8%Not comparable
Reasoning
BenchmarkGrok 4.1 Fast (Reasoning)MiMo-V2-OmniResult
AA-LCRSource 68.0%66.7%Grok 4.1 Fast (Reasoning) leads
CritPtSource 2.9%1.1%Grok 4.1 Fast (Reasoning) leads
Knowledge
BenchmarkGrok 4.1 Fast (Reasoning)MiMo-V2-OmniResult
Artificial Analysis Intelligence IndexSource 30.6%35.0%MiMo-V2-Omni leads
AA-GPQA DiamondSource 85.3%82.8%Grok 4.1 Fast (Reasoning) leads
AA-HLESource 17.6%19.9%MiMo-V2-Omni leads
AA-Omniscience IndexSource -28.7%-17.4%MiMo-V2-Omni leads
AA-Omniscience AccuracySource 25.3%18.7%Grok 4.1 Fast (Reasoning) leads
AA-Omniscience Hallucination RateSource 72.4%44.4%MiMo-V2-Omni leads
Multimodal
BenchmarkGrok 4.1 Fast (Reasoning)MiMo-V2-OmniResult
AA-MMMU-ProSource 63.3%69.9%MiMo-V2-Omni leads
Inst. Following
BenchmarkGrok 4.1 Fast (Reasoning)MiMo-V2-OmniResult
AA-IFBenchSource 52.7%53.5%MiMo-V2-Omni leads
Frequently Asked Questions (2)

Can I compare Grok 4.1 Fast (Reasoning) and MiMo-V2-Omni on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

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Last updated: July 23, 2026

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