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Model comparison

DeepSeek V4 Flash Base vs MiMo-V2.5-Pro

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
No comparison
70.19/100
1 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Flash Base unranked (Not scored); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash Base and MiMo-V2.5-Pro share 0 comparable benchmark results. 1 of 8 categories are comparable. 24 results are unique to DeepSeek V4 Flash Base; 31 to MiMo-V2.5-Pro.

Updated July 23, 2026
Shared results
0
DeepSeek V4 Flash Base only
24
MiMo-V2.5-Pro only
31
Comparable categories
1 / 8

Treat this as a split decision. DeepSeek V4 Flash Base makes more sense if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model; MiMo-V2.5-Pro is the better fit if you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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

DeepSeek V4 Flash Base and MiMo-V2.5-Pro finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

MiMo-V2.5-Pro is the reasoning model in the pair, while DeepSeek V4 Flash Base 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.

Operational comparison

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

MetricDeepSeek V4 Flash BaseMiMo-V2.5-ProComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash BaseNot availableMiMo-V2.5-ProNot availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Flash BaseNot availableMiMo-V2.5-ProNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Flash BaseNot availableMiMo-V2.5-ProNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash Base1MMiMo-V2.5-Pro1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 Flash BaseMiMo-V2.5-ProResult
Claw-EvalSource 63.8%Not comparable
GDPval-AASource 1265Not comparable
τ³-bench resultsSource 72.9%Not comparable
Terminal-Bench 2.0Source 68.4%Not comparable
AA Agentic IndexSource 29.1%Not comparable
τ²-bench resultsSource 94.2%Not comparable
GDPval-AASource 38.3%Not comparable
APEX-Agents-AASource 2.4%Not comparable
Gert LabsSource 62.70%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
Coding
BenchmarkDeepSeek V4 Flash BaseMiMo-V2.5-ProResult
BigCodeBenchSource 56.8%Not comparable
HumanEvalSource 69.5%Not comparable
SWE-bench ProSource 57.2%Not comparable
Terminal-Bench 2.0Source 68.4%Not comparable
AA Coding IndexSource 60.2%Not comparable
AA-SciCodeSource 50.2%Not comparable
Reasoning
BenchmarkDeepSeek V4 Flash BaseMiMo-V2.5-ProResult
BBHSource 86.9%Not comparable
DROPSource 88.6%Not comparable
HellaSwagSource 85.7%Not comparable
WinoGrandeSource 79.5%Not comparable
CLUEWSCSource 82.2%Not comparable
LongBench v2Source 44.7%Not comparable
AA-LCRSource 73.3%Not comparable
CritPtSource 4.0%Not comparable
KnowledgeDeepSeek V4 Flash Base wins
BenchmarkDeepSeek V4 Flash BaseMiMo-V2.5-ProResult
AGIEvalSource 82.6%Not comparable
MMLUSource 88.7%Not comparable
MMLU-ReduxSource 89.4%Not comparable
MMLU-ProSource 68.3%Not comparable
MMMLUSource 88.8%Not comparable
C-EvalSource 92.1%Not comparable
CMMLUSource 90.4%Not comparable
MultiLoKoSource 42.2%Not comparable
SimpleQASource 30.1%Not comparable
SuperGPQASource 46.5%Not comparable
FACTS ParametricSource 33.9%Not comparable
TriviaQASource 82.8%Not comparable
HLESource 48%Not comparable
HLE w/o toolsSource 34%Not comparable
Artificial Analysis Intelligence IndexSource 42.2%Not comparable
AA-GPQA DiamondSource 86.6%Not comparable
AA-HLESource 33.8%Not comparable
AA-Omniscience IndexSource 3.6%Not comparable
AA-Omniscience AccuracySource 22.6%Not comparable
AA-Omniscience Hallucination RateSource 24.5%Not comparable
AA Openness IndexSource 38.9%Not comparable
Math
BenchmarkDeepSeek V4 Flash BaseMiMo-V2.5-ProResult
GSM8KSource 90.8%Not comparable
MATHSource 57.4%Not comparable
CMathSource 93.6%Not comparable
Multilingual
BenchmarkDeepSeek V4 Flash BaseMiMo-V2.5-ProResult
MGSMSource 85.7%Not comparable
Multimodal
BenchmarkDeepSeek V4 Flash BaseMiMo-V2.5-ProResult
Design Arena WebsiteSource 1298Not comparable
Inst. Following
BenchmarkDeepSeek V4 Flash BaseMiMo-V2.5-ProResult
AA-IFBenchSource 79.9%Not comparable
Frequently Asked Questions (2)

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

DeepSeek V4 Flash Base and MiMo-V2.5-Pro are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

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

DeepSeek V4 Flash Base has the edge for knowledge tasks in this comparison, averaging 56.4 versus 48. MiMo-V2.5-Pro stays close enough that the answer can still flip depending on your workload.

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Last updated: July 23, 2026

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