Capability
Unranked
field median 56.4
Not eligible for a public rank
MiMo-V2.6-Flash
Decision reading
MiMo-V2.6-Flash is tracked, but not publicly ranked yet. The profile exposes 14 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Sep 22, 2026 — see all recent releases
Data as of September 21, 2026 · How the score is built
MiMo-V2.6-Flash will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
14 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
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
$0.14input / $0.28 output
input median $0.95
cached $0.003 · blended $0.21
Speed
Not measured
field median 97 tok/s
Time to first token not measured
Context
1Mtokens
field median 256,000
Maximum output length is tracked separately
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.
- Agentic9/9 verified
- Coding3/3 verified
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Verified sourceProvisionalNot measured
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 Not rankedWeight 22%9 benchmarksVerified | 76.5 | Not ranked | Not available | 22% | 9 benchmarks | Verified |
| CodingWeight 20%3 benchmarksVerified | Score pending | Not ranked | Not available | 20% | 3 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MathWeight 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.
Coding3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| DeepSWE | Score67.9% | Versus best verified row Best verified: Muse Spark 1.3 · 75.4% | Gap7.5 behind | WeightDisplay only | Provider exact |
| ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch? | Score26.0% | Versus best verified row Best verified: Claude Opus 5 · 93.0% | Gap67 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score87.6% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap5.2 behind | WeightDisplay only | Provider exact |
Agentic9 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OSWorld-Verified | Score80.8% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap5.3 behind | WeightWeighted 25% | Provider exact |
| AutomationBench | Score52.3% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 54.8% | Gap2.5 behind | WeightWeighted 10% | Provider exact |
| Toolathlon-Verified | Score73.6% | Versus best verified row Best verified: Claude Opus 5 · 80.6% | Gap7 behind | WeightDisplay only | Provider exact |
| Agents' Last Exam | Score27.6% | Versus best verified row Best verified: GPT-6 Astra · 59.3% | Gap31.7 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 4.0 | Score28.80% | Versus best verified row Best verified: Claude Mythos 5.1 · 60.90% | Gap32.1 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score87.6% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap5.2 behind | WeightDisplay only | Provider exact |
| JobBench | Score61.2% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | Gap3.7 behind | WeightDisplay only | Provider exact |
| CyberGym | Score95.1% | Versus best verified row Best verified: MiMo-V2.6-Flash · 95.1% | GapBest verified | WeightDisplay only | Provider exact |
| ExploitGym | Score6.0% | Versus best verified row Best verified: GPT-6 Astra · 42.4% | Gap36.4 behind | WeightDisplay only | Provider exact |
External signals2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ExploitBenchExploitBench v8-bench | Score25% | Versus best verified row Best verified: GPT-6 Astra · 100% | Gap74.7 behind | WeightDisplay only | Provider exact |
| SEC-Bench Pro | Score47.5% | Versus best verified row Best verified: GPT-6 Astra · 85.4% | Gap37.9 behind | WeightDisplay only | Provider exact |
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 publishedXiaomi MiMo-V2.6 launch
- Context window
- 1MXiaomi MiMo-V2.6 launch
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Open-weight checkpoint and hosted API are available at launch. Xiaomi lists text, image, video, and audio input modalities.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.003 per million cached input tokensXiaomi MiMo-V2.6 launch
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersLineage
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 57.7 · Price not listed
Apr 22, 2026
MiMo-V2.5Score 57.8 · Price not listed
Sep 22, 2026 · you are here
MiMo-V2.6-FlashNot publicly ranked · $0.14 / $0.28
Flash
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.
We track MiMo-V2.6-Flash, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
MiMo-V2.6-Flash is a open weight model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Open-weight checkpoint and hosted API are available at launch. Xiaomi lists text, image, video, and audio input modalities.
Official exact-value snapshot from Xiaomi's September 22, 2026 MiMo-V2.6 launch page and technical report. Xiaomi releases the MIT-licensed MiMo-V2.6-Flash-RL checkpoint as the efficiency-oriented, natively omnimodal member of the series. BenchLM maps only directly comparable public benchmarks and keeps the provider-run row non-ranked because weighted benchmark coverage remains sparse. MiMo Code Bench, MiMo Visual Coding, and MiMo Cyber Bench are in-house evaluations and remain outside the shared benchmark schema.
MiMo-V2.6-Flash sits in the MiMo-V2.6 family with MiMo-V2.6-Pro. Its explicit predecessor is MiMo-V2.5. 14 of 447 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Radar
Full release historyMiMo-V2.6-Flash release history
MiMo-V2.6-Pro and MiMo-V2.6-Flash released
Xiaomi · Model release
Source confirmed
Radar confirmed these at the source. Use MiMo-V2.6-Flash in your work? Explore Radar to follow supported changes and choose your alerts.
Questions
How does MiMo-V2.6-Flash perform overall in AI benchmarks?
MiMo-V2.6-Flash has 14 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is MiMo-V2.6-Flash good for coding and programming?
MiMo-V2.6-Flash has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is MiMo-V2.6-Flash good for agentic tool use and computer tasks?
MiMo-V2.6-Flash has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is MiMo-V2.6-Flash open source?
MiMo-V2.6-Flash is an open-weight model from Xiaomi. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to MiMo-V2.6-Flash?
MiMo-V2.6-Flash belongs to the MiMo-V2.6 family. Related tracked variants include MiMo-V2.6-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-V2.6-Flash have full benchmark coverage on BenchLM?
No. MiMo-V2.6-Flash currently has 14 source-displayable rows across 447 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-V2.6-Flash?
MiMo-V2.6-Flash has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Compare MiMo-V2.6-Flash with every tracked model498 comparisons
Last updated September 21, 2026. Runtime fields remain blank until a sourced snapshot exists.
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