Capability
Unranked
field median 58.2
Not eligible for a public rank
dots3-note Preview
Released Aug 14, 2026 — see all recent releases
Decision reading
dots3-note Preview is tracked, but not publicly ranked yet. The profile exposes 31 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Data as of August 14, 2026 · How the score is built
Strongest published evidence
Instruction Following ranks #6. A well-rounded choice across a range of tasks.
Validate before choosing
31 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
Self-hosted; infrastructure cost varies
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 94 tok/s
Time to first token not measured
Context
512Ktokens
field median 200,000
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
- Coding7/7 verified
- Reasoning1/1 verified
- Knowledge1/1 verified
- Math1/1 verified
- MultilingualNot measured
- Multimodal10/10 verified
- Inst. Following2/2 verified
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 publisheddots3-note Preview model card
- Context window
- 512Kdots3-note Preview model card
- 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
- Dots Studio publishes BF16 and FP8 checkpoints for self-hosted deployment under Apache-2.0. The model card documents text, image, video, and audio input with text output; it does not publish a first-party hosted API or token rate.
- 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 recorddots3-note Preview model card
- 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 parametersCategory 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 | 74.3 | Not ranked | Not available | 22% | 9 benchmarks | Verified |
| CodingRank Not rankedWeight 20%7 benchmarksVerified | 52.8 | Not ranked | Not available | 20% | 7 benchmarks | Verified |
| ReasoningRank Not rankedWeight 17%1 benchmarkVerified | 81.2 | Not ranked | Not available | 17% | 1 benchmark | Verified |
| KnowledgeRank Not rankedWeight 12%1 benchmarkVerified | 78.1 | Not ranked | Not available | 12% | 1 benchmark | Verified |
| MathWeight 5%1 benchmarkVerified | Score pending | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%10 benchmarksVerified | 68.9 | Not ranked | Not available | 12% | 10 benchmarks | Verified |
| Inst. FollowingRank #6 of 40Percentile 87thWeight 5%2 benchmarksVerified | 94.3 | #6 of 40 | 87th | 5% | 2 benchmarks | Verified |
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.
Coding7 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score78.4% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap17.6 behind | WeightWeighted 16% | Provider exact |
| SWE-bench Pro | Score61% | Versus best verified row Best verified: Claude Mythos 5 · 80.3% | Gap19.3 behind | WeightWeighted 10% | Provider exact |
| CodeforcesCodeforces Rating | Score3056.0 | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 3206.0 | Gap150 behind | WeightDisplay only | Provider exact |
| LiveCodeBench v6 | Score91.5% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.2% | Gap1.7 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score75.1% | Versus best verified row Best verified: GLM-5.3 · 88.2% | Gap13.1 behind | WeightDisplay only | Provider exact |
| SWE Multilingual | Score75.7% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap13.8 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score49.8% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 61.5% | Gap11.7 behind | WeightDisplay only | Provider exact |
Agentic9 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| BrowseComp | Score83.3% | Versus best verified row Best verified: GPT-5.6 Sol · 92.2% | Gap8.9 behind | WeightWeighted 28% | Provider exact |
| Claw-Eval | Score73.4% | Versus best verified row Best verified: Ornith-1.0-397B · 77.1% | Gap3.7 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score75.1% | Versus best verified row Best verified: GLM-5.3 · 88.2% | Gap13.1 behind | WeightDisplay only | Provider exact |
| Toolathlon-Verified | Score55.6% | Versus best verified row Best verified: Claude Opus 5 · 80.6% | Gap25 behind | WeightDisplay only | Provider exact |
| skillsBench | Score52.8% | Versus best verified row Best verified: Qwen3.8 Max · 70.2% | Gap17.4 behind | WeightDisplay only | Provider exact |
| APEX-Agents | Score30.8% | Versus best verified row Best verified: Grok 4.6 · 57.5% | Gap26.7 behind | WeightDisplay only | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score52.6% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap12.1 behind | WeightDisplay only | Provider exact |
| DeepSearchQA | Score92.1% | Versus best verified row Best verified: Claude Opus 5 · 95.0% | Gap2.9 behind | WeightDisplay only | Provider exact |
| WideResearch | Score78.9% | Versus best verified row Best verified: Qwen3.8 Max · 81.9% | Gap3 behind | WeightDisplay only | Provider exact |
Reasoning1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score81.4% | Versus best verified row Best verified: GPT-5.6 Sol · 92.5% | Gap11.1 behind | WeightWeighted 31% | Provider exact |
Knowledge1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score52.6% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap12.1 behind | WeightWeighted 45% | Provider exact |
Math1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IMOAnswerBench | Score90.9% | Versus best verified row Best verified: dots3-note Preview · 90.9% | GapBest verified | WeightDisplay only | Provider exact |
Multimodal10 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score79.1% | Versus best verified row Best verified: GPT-5.4 Pro · 94% | Gap14.9 behind | WeightWeighted 45% | Provider exact |
| SimpleVQA | Score72.5% | Versus best verified row Best verified: Qwen3.7 Plus · 81.7% | Gap9.2 behind | WeightDisplay only | Provider exact |
| MathVision | Score87.7% | Versus best verified row Best verified: Qwen3.8 Max · 95.2% | Gap7.5 behind | WeightDisplay only | Provider exact |
| ZeroBench | Score19.0% | Versus best verified row Best verified: Muse Spark · 33.0% | Gap14 behind | WeightDisplay only | Provider exact |
| CharXiv w/o toolsCharXiv Reasoning without tools | Score83.1% | Versus best verified row Best verified: Claude Mythos 5 · 88.9% | Gap5.8 behind | WeightDisplay only | Provider exact |
| GDP.pdf (no tools)GDP.pdf mean criteria pass rate without tools | Score60.7% | Versus best verified row Best verified: Claude Opus 5 · 83.4% | Gap22.7 behind | WeightDisplay only | Provider exact |
| PerceptionBenchPerceptionBench (Internal) | Score53.4% | Versus best verified row Best verified: Qwen3.8 Max · 63.5% | Gap10.1 behind | WeightDisplay only | Provider exact |
| BabyVision | Score50.0% | Versus best verified row Best verified: Qwen3.8 Max · 82.0% | Gap32 behind | WeightDisplay only | Provider exact |
| MMVUMultimodal Multi-disciplinary Video Understanding | Score79.9% | Versus best verified row Best verified: Qwen3.8 Max · 82.4% | Gap2.5 behind | WeightDisplay only | Provider exact |
| VideoMMMU | Score86.8% | Versus best verified row Best verified: Qwen3.8 Max · 88.7% | Gap1.9 behind | WeightDisplay only | Provider exact |
Inst. Following2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score80.4% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap4.6 behind | WeightWeighted 65% | Provider exact |
| IFEvalInstruction-Following Eval | Score93.9% | Versus best verified row Best verified: Qwen3.5-27B · 95% | Gap1.1 behind | WeightWeighted 35% | Provider exact |
Lineage
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Aug 14, 2026 · you are here
dots3-note PreviewNot publicly ranked · Price not listed
preview · Preview
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 dots3-note Preview, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
dots3-note Preview is a open weight model with a 512K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Dots Studio publishes BF16 and FP8 checkpoints for self-hosted deployment under Apache-2.0. The model card documents text, image, video, and audio input with text output; it does not publish a first-party hosted API or token rate.
Official exact-value snapshot from Dots Studio's dots3-note Preview model card. BenchLM maps only launch rows with compatible local benchmark keys, keeps Terminal-Bench 2.1 and LiveCodeBench v6 separate from older weighted lanes, and leaves ARC-AGI-3 harness variants, WorldVQA without a documented ForceAnswer setup, MME Video-v2, and other unsupported protocols outside the schema. Dots Studio reports a 280B-total, 16B-active multimodal MoE with a 512K-token context window.
31 of 437 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Instruction Following at #6. a well-rounded choice across a range of tasks.
Radar
Full release historydots3-note Preview release history
dots3-note Preview released
Dots Studio · Model release
Source confirmed
Frequently asked questions
How does dots3-note Preview perform overall in AI benchmarks?
dots3-note Preview has 31 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 dots3-note Preview good for knowledge and understanding?
dots3-note Preview has source-displayable benchmark coverage for knowledge and understanding, 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 dots3-note Preview good for coding and programming?
dots3-note Preview 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 dots3-note Preview good for mathematics?
dots3-note Preview has source-displayable benchmark coverage for mathematics, 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 dots3-note Preview good for reasoning and logic?
dots3-note Preview has source-displayable benchmark coverage for reasoning and logic, 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 dots3-note Preview good for agentic tool use and computer tasks?
dots3-note Preview 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 dots3-note Preview good for multimodal and grounded tasks?
dots3-note Preview has source-displayable benchmark coverage for multimodal and grounded 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 dots3-note Preview good for instruction following?
dots3-note Preview ranks #6 out of 40 eligible models for instruction following, with a public category score of 94.3/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is dots3-note Preview open source?
dots3-note Preview is an open-weight model from Dots Studio. 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.
Does dots3-note Preview have full benchmark coverage on BenchLM?
No. dots3-note Preview currently has 31 source-displayable rows across 437 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 dots3-note Preview?
dots3-note Preview has a documented context window of 512K. 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.
Last updated August 14, 2026. Runtime fields remain blank until a sourced snapshot exists.
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