Capability
65.4/100
field median 58.1
#39 of 232 ranked models
MiMo-V2.5-Pro
Released Apr 22, 2026 — see all recent releases
Decision reading
MiMo-V2.5-Pro scores 65.4 out of 100 and ranks #39 of 232. This profile shows 13 source-displayable benchmark rows; its strongest eligible category is Coding at #36. 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
Coding ranks #36. Particularly well-suited for software development and code generation tasks.
Validate before choosing
13 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
Not measured
field median 92 tok/s
Time to first token not measured
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-Pro category percentile values
- Agentic22nd percentile
- Coding81st percentile
- ReasoningNot eligible
- Knowledge68th percentile
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#118/151
- Coding#36/183
- ReasoningNot ranked
- Knowledge#58/181
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- 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.
- Agentic5/5 verified
- Coding4/4 verified
- ReasoningNot measured
- Knowledge4/4 verified
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- 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 #118 of 151Percentile 22ndWeight 22%5 benchmarksVerified | 40.8 | #118 of 151 | 22nd | 22% | 5 benchmarks | Verified |
| CodingRank #36 of 183Percentile 81stWeight 20%4 benchmarksVerified | 57.1 | #36 of 183 | 81st | 20% | 4 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #58 of 181Percentile 68thWeight 12%4 benchmarksVerified | 55.5 | #58 of 181 | 68th | 12% | 4 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 |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| 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 | Score57.2% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap24 behind | WeightWeighted 25% | Provider exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score81.4% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap9.1 behind | WeightWeighted 15% | |
| Terminal-Bench 2.0 | Score68.4% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap23.5 behind | WeightDisplay only | Provider exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score74.0% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap23 behind | WeightDisplay only | Verified |
Agentic5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score68.4% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap23.5 behind | WeightWeighted 30% | Provider exact |
| Claw-Eval | Score63.8% | Versus best verified row Best verified: Ornith-1.5-397B · 81.4% | Gap17.6 behind | WeightDisplay only | Benchmark exact |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | Score72.9% | Versus best verified row Best verified: Mistral Medium 3.5 128B · 91.4% | Gap18.5 behind | WeightDisplay only | Provider exact |
| Gert LabsGert Labs Composite Game Benchmark | Score62.70% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap10.3 behind | WeightDisplay only | Benchmark exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score57.3% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap30 behind | WeightDisplay only |
Knowledge4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score48% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap17 behind | WeightWeighted 35% | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score34% | Versus best verified row Best verified: Claude Fable 5.1 · 60.9% | Gap26.9 behind | WeightWeighted 10% | Provider exact |
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score84.6% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap7.8 behind | WeightWeighted 10% | Verified |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score82.6% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap12.9 behind | WeightDisplay only |
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-ProScore 64.9 · Price not listed
Apr 22, 2026 · you are here
MiMo-V2.5-ProScore 65.4 · Price not listed
Pro
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-Pro ranks #39 of 232 on the public leaderboard with a score of 65.41/100. Its source-verified position is #30 of 130.
MiMo-V2.5-Pro 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-Pro 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-Pro sits in the MiMo-V2.5 family with MiMo-V2.5. Its explicit predecessor is MiMo-V2-Pro. 13 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #36, while its lowest eligible position is Agentic at #118. particularly well-suited for software development and code generation tasks.
Radar
Full release historyMiMo-V2.5-Pro 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-Pro? See the free Radar Brief for what changes next.
Frequently asked questions
How does MiMo-V2.5-Pro perform overall in AI benchmarks?
MiMo-V2.5-Pro ranks #39 out of 232 models on the public BenchAlign leaderboard, with a score of 65.41/100. Its evidence status is Supported, and this profile shows 13 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-Pro good for knowledge and understanding?
MiMo-V2.5-Pro ranks #58 out of 181 eligible models for knowledge and understanding, with a public category score of 55.5/100. 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.
Is MiMo-V2.5-Pro good for coding and programming?
MiMo-V2.5-Pro ranks #36 out of 183 eligible models for coding and programming, with a public category score of 57.1/100. 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-Pro good for agentic tool use and computer tasks?
MiMo-V2.5-Pro ranks #118 out of 151 eligible models for agentic tool use and computer tasks, with a public category score of 40.8/100. 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.
Which sibling models are related to MiMo-V2.5-Pro?
MiMo-V2.5-Pro belongs to the MiMo-V2.5 family. Related tracked variants include MiMo-V2.5. 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-Pro have full benchmark coverage on BenchLM?
No. MiMo-V2.5-Pro currently has 30 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-Pro?
MiMo-V2.5-Pro 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-Pro with every tracked model410 comparisons
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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