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ModelScale

MiMo-V2-Flash

Xiaomi · Open Weight · rank 121 · bench-align-v5

Self-hosted
Compare this model Model a workload
Canonical idmimo-v2-flash
Overall score49.02
Context window256K tokens
Release date2026-03-15
Access typeOpen Weight
Blended $/1MUnavailable75% input / 25% output

Capability shape

Seven axes from the ranking source. A missing axis is drawn as a gap.

Capability evidence

AgenticUnavailable
Coding53.3
Knowledge40.4
Reasoning46
Multimodal & GroundedUnavailable
Instruction Following46.5
MathUnavailable

Runtime service evidence

Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.

Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.

Evidence key: Observed

Runtime measurements
MeasurementValueObservedLast goodEvidence
Time to first token2.14 s2026-09-172026-09-17
Throughput129 tok/s2026-09-172026-09-17

Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.

Endpoint and price matrix

Every published price component, including cache reads and writes.

Price components
ComponentUSDEvidence
Input / 1M tokensUnavailable
Output / 1M tokensUnavailable
Cache read / 1M tokensUnavailable
Cache write / 1M tokensUnavailable
Blended / 1M (75% input / 25% output)Unavailable
Self-hosted listingOpen-weight model. Self-hosted or third-party hosted costs vary by provider and infrastructure.No hosted token rate was published for this model, so its per-token price is unavailable rather than zero.

Workload-aware monthly cost example

10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.

Modelled monthly costUnavailableThe applicable input rate is unavailable.
Modelled tokensUnavailable
Open the simulatorChange this workload

Benchmark record

17 matched benchmark rows with their published value, unit, and provenance.

Knowledge

Knowledge benchmarks
BenchmarkValueTasksDifficultyProvenance
GPQA
Graduate-Level Google-Proof Q&A
83.7448 questionsGraduate levelGPQA: A Graduate-Level Google-Proof Q&A Benchmark
MMLU-Pro
Massive Multitask Language Understanding Professional
84.9Multiple subjectsProfessional levelMMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index
16.1Cross-benchmark intelligence indexDisplay-only external referenceArtificial Analysis
AA-GPQA Diamond
Artificial Analysis GPQA Diamond
65.6Graduate-level science questionsGraduate-level science reasoningArtificial Analysis GPQA Diamond Benchmark Leaderboard
AA-HLE
Artificial Analysis Humanity's Last Exam
8.6Expert-level questionsFrontier expert reasoningArtificial Analysis Humanity's Last Exam Benchmark Leaderboard
AA-Omniscience Index
Artificial Analysis Omniscience Index
-48.4Knowledge questionsBroad factual knowledgeAA-Omniscience: Knowledge and Hallucination Benchmark
AA-Omniscience Accuracy
Artificial Analysis Omniscience Accuracy
15.6Knowledge questionsBroad knowledgeArtificial Analysis model benchmarks
AA-Omniscience Hallucination Rate
Artificial Analysis Omniscience Hallucination Rate
76.0Knowledge questionsFactualityArtificial Analysis model benchmarks

Coding

Coding benchmarks
BenchmarkValueTasksDifficultyProvenance
SWE-bench Verified
Software Engineering Benchmark Verified
73.4500 verified issuesProfessional software engineeringSWE-bench: Can Language Models Resolve Real-World GitHub Issues?
AA Coding Index
Artificial Analysis Coding Index
49.8Cross-benchmark coding indexDisplay-only external referenceArtificial Analysis model leaderboards

Mathematics

Mathematics benchmarks
BenchmarkValueTasksDifficultyProvenance
AIME 2025
American Invitational Mathematics Examination 2025
94.115 problemsHigh school olympiad levelAmerican Invitational Mathematics Examination

Reasoning

Reasoning benchmarks
BenchmarkValueTasksDifficultyProvenance
AA-LCR
Artificial Analysis Long Context Reasoning
36.3Long-context reasoning tasksLong-context reasoningArtificial Analysis model benchmarks
CritPt
Critical Physics Tasks
0.0Research-level physics questionsResearch-level physics reasoningCritPt Benchmark Leaderboard

Instruction Following

Instruction Following benchmarks
BenchmarkValueTasksDifficultyProvenance
AA-IFBench
Artificial Analysis IFBench
39.9Verifiable instruction constraintsInstruction precisionArtificial Analysis IFBench Benchmark Leaderboard

Agentic

Agentic benchmarks
BenchmarkValueTasksDifficultyProvenance
GDPval-AA
GDPval-AA
788Agentic real-world work tasksProfessional agentic workflowsDeepSeek-V4 Technical Report
GDPval-AA
GDPval-AA normalized
14.4Economically valuable tasksProfessional agentic workflowsArtificial Analysis model benchmarks
τ²-bench results
τ²-Bench Tool-Agent-User Evaluation
83.9Airline, retail, and telecom customer-service task setsDual-control customer-service workflowsτ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Lifecycle and limitations log

Lifecycle events the source associates with this model, plus what this profile does not claim.

No lifecycle event references this model.

That is not evidence the model has no lifecycle plan — only that this source published none.

What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-09-17 17:17 UTC.