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Model comparison

Inkling vs MiMo-V2-Pro

Data verified

Head-to-head evidence from 10 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Thinking Machines Lab
67.54/100
Margin
0.2pts
winning →
67.78/100
0 category wins1 category wins

Public leaderboard positions: Inkling #20 (Supported); MiMo-V2-Pro #17 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Inkling and MiMo-V2-Pro share 10 comparable benchmark results. 1 of 8 categories are comparable. 22 results are unique to Inkling; 5 to MiMo-V2-Pro.

Updated July 23, 2026
Shared results
10
Inkling only
22
MiMo-V2-Pro only
5
Comparable categories
1 / 8

Pick MiMo-V2-Pro if you want the stronger benchmark profile. Inkling only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 10 shared benchmark results across 3 evidence categories; 1 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-Pro has the cleaner BenchAlign overall profile here, landing at 67.78 versus 67.54. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

MiMo-V2-Pro's sharpest advantage is in coding, where it averages 78 against 68.6. The single biggest benchmark swing on the page is SWE-bench Verified, 77.6% to 78%.

MiMo-V2-Pro is the reasoning model in the pair, while Inkling 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 Inkling and MiMo-V2-Pro
CategoryInklingΔMiMo-V2-Pro
CodingInkling68.6Margin 9.4MiMo-V2-Pro78.0
AgenticInkling69.4MarginNo overlapMiMo-V2-ProNot measured
KnowledgeInkling51.6MarginNo overlapMiMo-V2-ProNot measured
MathInkling97.1MarginNo overlapMiMo-V2-ProNot measured
MultimodalInkling76.5MarginNo overlapMiMo-V2-ProNot measured
Inst. FollowingInkling79.8MarginNo overlapMiMo-V2-ProNot measured

Decisive benchmark drivers

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

More
A · InklingB · MiMo-V2-Pro
  1. SWE-bench Verified

    Coding
    Source ↗
    A 77.6%B 78%
    Winner: MiMo-V2-ProΔ 0.4
    SWE-bench Verified: Inkling scored 77.6%; MiMo-V2-Pro scored 78%. MiMo-V2-Pro wins this benchmark.

Operational comparison

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

MetricInklingMiMo-V2-ProComparison
Input / output priceUSD per 1M tokensInkling$1.87 input / $4.68 outputMiMo-V2-ProNot availableA complete price comparison is not available.
Generation speedtokens per secondInklingNot availableMiMo-V2-ProNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenInklingNot availableMiMo-V2-ProNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensInkling1MMiMo-V2-Pro1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkInklingMiMo-V2-ProResult
Terminal-Bench 2.0Source 63.8%Not comparable
BrowseCompSource 77.1%Not comparable
MCP AtlasSource 74.1%Not comparable
Design Arena Agentic Web DevSource 1257Not comparable
AA Agentic IndexSource 32.3%Not comparable
GDPval-AASource 36.9%Not comparable
GDPval-AASource 1239Not comparable
AA BriefcaseSource 836Not comparable
AA Tau3 BankingSource 23.7%Not comparable
Claw-EvalSource 57.8%Not comparable
τ²-bench resultsSource 95%Not comparable
Gert LabsSource 36.68%Not comparable
ResearchClawBenchSource 15.3%Not comparable
CodingMiMo-V2-Pro wins
BenchmarkInklingMiMo-V2-ProResult
SWE-bench VerifiedSource 77.6%78%MiMo-V2-Pro leads
SWE-bench ProSource 54.3%Not comparable
Terminal-Bench 2.0Source 63.8%Not comparable
AA Coding IndexSource 52.1%Not comparable
AA-SciCodeSource 46.1%42.5%Inkling leads
Reasoning
BenchmarkInklingMiMo-V2-ProResult
AA-LCRSource 63.3%60.7%Inkling leads
CritPtSource 5.4%0.3%Inkling leads
Knowledge
BenchmarkInklingMiMo-V2-ProResult
GPQASource 87.9%Not comparable
GPQA-DSource 87.9%Not comparable
HLESource 46%Not comparable
HLE w/o toolsSource 30%Not comparable
Artificial Analysis Intelligence IndexSource 40.7%40.3%Inkling leads
AA-GPQA DiamondSource 87.2%87.0%Inkling leads
AA-HLESource 29.7%28.3%Inkling leads
AA-Omniscience IndexSource 2.1%4.9%MiMo-V2-Pro leads
AA-Omniscience AccuracySource 40.0%26.8%Inkling leads
AA-Omniscience Hallucination RateSource 63.1%29.9%MiMo-V2-Pro leads
Math
BenchmarkInklingMiMo-V2-ProResult
AIME26Source 97.1%Not comparable
Multimodal
BenchmarkInklingMiMo-V2-ProResult
MMMU-ProSource 73.5%Not comparable
CharXivSource 82%Not comparable
CharXiv w/o toolsSource 78.1%Not comparable
AA-MMMU-ProSource 73.5%Not comparable
Inst. Following
BenchmarkInklingMiMo-V2-ProResult
IFBenchSource 79.8%Not comparable
AA-IFBenchSource 68.8%Not comparable
Frequently Asked Questions (2)

Which is better, Inkling or MiMo-V2-Pro?

MiMo-V2-Pro is ahead on BenchLM's BenchAlign leaderboard, 67.78 to 67.54. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 77.6% and 78%.

Which is better for coding, Inkling or MiMo-V2-Pro?

MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 68.6. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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