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Model comparison

DeepSeek V3.1 vs MiMo-V2.5

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

53.64/100
Margin
5.0pts
winning →
Xiaomi
58.62/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.1 #95 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.1 and MiMo-V2.5 share 1 comparable benchmark result. 0 of 8 categories are comparable. 11 results are unique to DeepSeek V3.1; 10 to MiMo-V2.5.

Updated July 21, 2026
Shared results
1
DeepSeek V3.1 only
11
MiMo-V2.5 only
10
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.1 and MiMo-V2.5 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.

MiMo-V2.5 has the larger context window at 1M, compared with 128K for DeepSeek V3.1.

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 DeepSeek V3.1 and MiMo-V2.5
CategoryDeepSeek V3.1ΔMiMo-V2.5
AgenticDeepSeek V3.1Not measuredMarginNo overlapMiMo-V2.565.8
CodingDeepSeek V3.1Not measuredMarginNo overlapMiMo-V2.556.1
MultimodalDeepSeek V3.1Not measuredMarginNo overlapMiMo-V2.579.0

Operational comparison

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

MetricDeepSeek V3.1MiMo-V2.5Comparison
Input / output priceUSD per 1M tokensDeepSeek V3.1$0 input / $0 outputMiMo-V2.5Not availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V3.1Not availableMiMo-V2.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.1Not availableMiMo-V2.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.1128KMiMo-V2.51MMiMo-V2.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.1MiMo-V2.5Result
τ²-bench resultsSource 34.8%Not comparable
Claw-EvalSource 62.3%Not comparable
MM-ClawBenchSource 23.8%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
Gert LabsSource 46.89%Not comparable
ResearchClawBenchSource 16.9%Not comparable
Coding
BenchmarkDeepSeek V3.1MiMo-V2.5Result
AA-SciCodeSource 36.7%Not comparable
SWE-bench ProSource 56.1%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
Reasoning
BenchmarkDeepSeek V3.1MiMo-V2.5Result
AA-LCRSource 45.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkDeepSeek V3.1MiMo-V2.5Result
Artificial Analysis Intelligence IndexSource 21.1%Not comparable
AA-GPQA DiamondSource 73.5%Not comparable
AA-HLESource 6.3%Not comparable
AA-Omniscience IndexSource -41.1%Not comparable
AA-Omniscience AccuracySource 23.1%Not comparable
AA-Omniscience Hallucination RateSource 83.5%Not comparable
Multimodal
BenchmarkDeepSeek V3.1MiMo-V2.5Result
Design Arena WebsiteSource 11521291MiMo-V2.5 leads
Video-MME (with subtitle)Source 87.7%Not comparable
CharXivSource 81%Not comparable
MMMU-ProSource 77.9%Not comparable
Inst. Following
BenchmarkDeepSeek V3.1MiMo-V2.5Result
AA-IFBenchSource 37.8%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.1 and MiMo-V2.5 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.

What data is available for DeepSeek V3.1 and MiMo-V2.5 today?

DeepSeek V3.1: $0.00 input / $0.00 output per 1M tokens MiMo-V2.5: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 21, 2026

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