Capability
60.7/100
field median 58.1
#63 of 232 ranked models
MiMo-V2.5
Released Apr 22, 2026 — see all recent releases
Decision reading
MiMo-V2.5 scores 60.7 out of 100 and ranks #63 of 232. This profile shows 15 source-displayable benchmark rows; its strongest eligible category is Multimodal & Grounded at #29. No comparable first-party API price is published in the catalog.
Data as of September 4, 2026 · How the score is built
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Strongest published evidence
Multimodal & Grounded ranks #29. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Validate before choosing
15 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
API rate not published
input median $1
No comparable first-party hosted token rate
Speed
56tok/s
field median 92 tok/s
First token 39.54 s
Context
1Mtokens
field median 256,000
Reported for this model; direct source link not stored
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
MiMo-V2.5 category percentile values
- Agentic62nd percentile
- Coding76th percentile
- ReasoningNot eligible
- Knowledge64th percentile
- MathNot eligible
- MultilingualNot eligible
- Multimodal40th percentile
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#58/151
- Coding#45/183
- ReasoningNot ranked
- Knowledge#65/181
- MathNot ranked
- MultilingualNot ranked
- Multimodal#29/48
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic6/6 verified
- Coding4/4 verified
- ReasoningNot measured
- Knowledge2/2 verified
- MathNot measured
- MultilingualNot measured
- Multimodal3/3 verified
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 1M
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #58 of 151Percentile 62ndWeight 22%6 benchmarksVerified | 51.1 | #58 of 151 | 62nd | 22% | 6 benchmarks | Verified |
| CodingRank #45 of 183Percentile 76thWeight 20%4 benchmarksVerified | 54.8 | #45 of 183 | 76th | 20% | 4 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #65 of 181Percentile 64thWeight 12%2 benchmarksVerified | 53.8 | #65 of 181 | 64th | 12% | 2 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #29 of 48Percentile 40thWeight 12%3 benchmarksVerified | 58.5 | #29 of 48 | 40th | 12% | 3 benchmarks | Verified |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score56.1% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap25.1 behind | WeightWeighted 25% | Provider exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score81.5% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap9 behind | WeightWeighted 15% | |
| Terminal-Bench 2.0 | Score65.8% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap26.1 behind | WeightDisplay only | Provider exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score71.0% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap26 behind | WeightDisplay only | Verified |
Agentic6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score65.8% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap26.1 behind | WeightWeighted 30% | Provider exact |
| Claw-Eval | Score62.3% | Versus best verified row Best verified: Ornith-1.5-397B · 81.4% | Gap19.1 behind | WeightDisplay only | Benchmark exact |
| MM-ClawBench | Score23.8% | Versus best verified row Best verified: MiniMax M2.7 · 62.7% | Gap38.9 behind | WeightDisplay only | Provider exact |
| Gert LabsGert Labs Composite Game Benchmark | Score46.89% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap26.1 behind | WeightDisplay only | Benchmark exact |
| ResearchClawBench | Score16.9% | Versus best verified row Best verified: Claude Opus 4.8 · 21.1% | Gap4.2 behind | WeightDisplay only | Benchmark exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score60.7% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap26.6 behind | WeightDisplay only |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score82.9% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap9.5 behind | WeightWeighted 10% | Verified |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score81.6% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap13.9 behind | WeightDisplay only |
Multimodal3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score77.9% | Versus best verified row Best verified: GPT-5.4 Pro · 94% | Gap16.1 behind | WeightWeighted 40% | Provider exact |
| CharXivCharXiv Reasoning | Score81% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | Gap12.5 behind | WeightWeighted 20% | Provider exact |
| Video-MME (with subtitle)Video-MME with subtitle | Score87.7% | Versus best verified row Best verified: Qwen3.8 Max · 90.4% | Gap2.7 behind | WeightDisplay only | Provider exact |
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Mar 18, 2026
MiMo-V2-OmniScore 60.6 · Price not listed
Apr 22, 2026 · you are here
MiMo-V2.5Score 60.7 · Price not listed
Base entry
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
MiMo-V2.5 ranks #63 of 232 on the public leaderboard with a score of 60.72/100. It does not yet have enough sourced coverage for a verified position.
MiMo-V2.5 is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Official exact-value snapshot from Xiaomi's April 22, 2026 MiMo-V2.5 launch page. BenchLM maps only directly comparable rows from Xiaomi's published benchmark charts and keeps the row non-ranked because weighted public benchmark coverage remains sparse.
MiMo-V2.5 sits in the MiMo-V2.5 family with MiMo-V2.5-Pro. Its explicit predecessor is MiMo-V2-Omni. 15 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Multimodal & Grounded at #29, while its lowest eligible position is Knowledge at #65. particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Radar
Full release historyMiMo-V2.5 release history
MiMo-V2.5 and MiMo-V2.5-Pro released
Xiaomi · Model release
Source confirmed
Radar confirmed these at the source. Already tracking MiMo-V2.5? See the free Radar Brief for what changes next.
Frequently asked questions
How does MiMo-V2.5 perform overall in AI benchmarks?
MiMo-V2.5 ranks #63 out of 232 models on the public BenchAlign leaderboard, with a score of 60.72/100. Its evidence status is Estimated, and this profile shows 15 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is MiMo-V2.5 good for knowledge and understanding?
MiMo-V2.5 ranks #65 out of 181 eligible models for knowledge and understanding, with a public category score of 53.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is MiMo-V2.5 good for coding and programming?
MiMo-V2.5 ranks #45 out of 183 eligible models for coding and programming, with a public category score of 54.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is MiMo-V2.5 good for agentic tool use and computer tasks?
MiMo-V2.5 ranks #58 out of 151 eligible models for agentic tool use and computer tasks, with a public category score of 51.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is MiMo-V2.5 good for multimodal and grounded tasks?
MiMo-V2.5 ranks #29 out of 48 eligible models for multimodal and grounded tasks, with a public category score of 58.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Which sibling models are related to MiMo-V2.5?
MiMo-V2.5 belongs to the MiMo-V2.5 family. Related tracked variants include MiMo-V2.5-Pro. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does MiMo-V2.5 have full benchmark coverage on BenchLM?
No. MiMo-V2.5 currently has 16 source-displayable rows across 422 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of MiMo-V2.5?
MiMo-V2.5 has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Compare MiMo-V2.5 with every tracked model410 comparisons
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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