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Model comparison

DeepSeek V4 Flash vs MiMo-V2.5

Data verified

Head-to-head evidence from 6 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

58.88/100
Margin
0.3pts
← winning
Xiaomi
58.62/100
1 category wins1 category wins

Public leaderboard positions: DeepSeek V4 Flash #61 (Estimated); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash and MiMo-V2.5 share 6 comparable benchmark results. 2 of 8 categories are comparable. 16 results are unique to DeepSeek V4 Flash; 5 to MiMo-V2.5.

Updated July 23, 2026
Shared results
6
DeepSeek V4 Flash only
16
MiMo-V2.5 only
5
Comparable categories
2 / 8

Pick DeepSeek V4 Flash if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if agentic is the priority or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 6 shared benchmark results across 3 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

DeepSeek V4 Flash has the cleaner BenchAlign overall profile here, landing at 58.88 versus 58.62. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

DeepSeek V4 Flash's sharpest advantage is in coding, where it averages 64.2 against 56.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 49.1% to 65.8%. MiMo-V2.5 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.

MiMo-V2.5 is the reasoning model in the pair, while DeepSeek V4 Flash 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 DeepSeek V4 Flash and MiMo-V2.5
CategoryDeepSeek V4 FlashΔMiMo-V2.5
AgenticDeepSeek V4 Flash49.1Margin 16.7MiMo-V2.565.8
CodingDeepSeek V4 Flash64.2Margin 8.1MiMo-V2.556.1
KnowledgeDeepSeek V4 Flash38.8MarginNo overlapMiMo-V2.5Not measured
MathDeepSeek V4 Flash40.8MarginNo overlapMiMo-V2.5Not measured
MultimodalDeepSeek V4 FlashNot measuredMarginNo overlapMiMo-V2.579.0

Decisive benchmark drivers

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

More
A · DeepSeek V4 FlashB · MiMo-V2.5
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 49.1%B 65.8%
    Winner: MiMo-V2.5Δ 16.7
    Terminal-Bench 2.0: DeepSeek V4 Flash scored 49.1%; MiMo-V2.5 scored 65.8%. MiMo-V2.5 wins this benchmark.
  2. SWE-bench Pro

    Coding
    Source ↗
    A 49.1%B 56.1%
    Winner: MiMo-V2.5Δ 7
    SWE-bench Pro: DeepSeek V4 Flash scored 49.1%; MiMo-V2.5 scored 56.1%. MiMo-V2.5 wins this benchmark.

Operational comparison

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

MetricDeepSeek V4 FlashMiMo-V2.5Comparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash$0.14 input / $0.28 outputMiMo-V2.5Not availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 FlashNot availableMiMo-V2.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 FlashNot availableMiMo-V2.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash1MMiMo-V2.51MListed context windows are equal.

Benchmark Deep Dive

AgenticMiMo-V2.5 wins
BenchmarkDeepSeek V4 FlashMiMo-V2.5Result
Terminal-Bench 2.0Source 49.1%65.8%MiMo-V2.5 leads
MCP AtlasSource 64%Not comparable
ToolathlonSource 40.7%Not comparable
Claw-EvalSource 57.8%62.3%MiMo-V2.5 leads
Gert LabsSource 54.35%46.89%DeepSeek V4 Flash leads
MM-ClawBenchSource 23.8%Not comparable
ResearchClawBenchSource 16.9%Not comparable
CodingDeepSeek V4 Flash wins
BenchmarkDeepSeek V4 FlashMiMo-V2.5Result
SWE-bench VerifiedSource 73.7%Not comparable
SWE-bench ProSource 49.1%56.1%MiMo-V2.5 leads
SWE MultilingualSource 69.7%Not comparable
Terminal-Bench 2.0Source 49.1%65.8%MiMo-V2.5 leads
Reasoning
BenchmarkDeepSeek V4 FlashMiMo-V2.5Result
MRCR 1MSource 37.5%Not comparable
CorpusQA 1MSource 15.5%Not comparable
Knowledge
BenchmarkDeepSeek V4 FlashMiMo-V2.5Result
MMLU-ProSource 83%Not comparable
SimpleQASource 23.1%Not comparable
Chinese-SimpleQASource 71.5%Not comparable
GPQASource 71.2%Not comparable
GPQA-DSource 71.2%Not comparable
HLESource 8.1%Not comparable
Math
BenchmarkDeepSeek V4 FlashMiMo-V2.5Result
HMMT Feb 2026Source 40.8%Not comparable
IMOAnswerBenchSource 41.9%Not comparable
ApexSource 1.0%Not comparable
Apex ShortlistSource 9.3%Not comparable
Multimodal
BenchmarkDeepSeek V4 FlashMiMo-V2.5Result
Design Arena WebsiteSource 12381291MiMo-V2.5 leads
Video-MME (with subtitle)Source 87.7%Not comparable
CharXivSource 81%Not comparable
MMMU-ProSource 77.9%Not comparable
Frequently Asked Questions (3)

Which is better, DeepSeek V4 Flash or MiMo-V2.5?

DeepSeek V4 Flash is ahead on BenchLM's BenchAlign leaderboard, 58.88 to 58.62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 49.1% and 65.8%.

Which is better for coding, DeepSeek V4 Flash or MiMo-V2.5?

DeepSeek V4 Flash has the edge for coding in this comparison, averaging 64.2 versus 56.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, DeepSeek V4 Flash or MiMo-V2.5?

MiMo-V2.5 has the edge for agentic tasks in this comparison, averaging 65.8 versus 49.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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