Capability
64.4/100
field median 56.2
#40 of 232 ranked models
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Data as of September 10, 2026 · How the score is built
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Agentic ranks #25. Particularly useful for coding agents, browser research, and computer-use workflows.
31 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
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.
Capability
64.4/100
field median 56.2
#40 of 232 ranked models
Price
Self-hosted; infrastructure cost varies
input median $0.97
No comparable first-party hosted token rate
Speed
Not measured
field median 86.5 tok/s
Time to first token not measured
Context
512Ktokens
field median 256,000
Maximum output length is tracked separately
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.
dots3-note Preview category percentile values
The dashed outline is median of 6 nearest peers.
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.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
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 parametersScores 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 #25 of 152Percentile 84thWeight 22%9 benchmarksVerified | 59.3 | #25 of 152 | 84th | 22% | 9 benchmarks | Verified |
| CodingRank #34 of 151Percentile 78thWeight 20%7 benchmarksVerified | 57.2 | #34 of 151 | 78th | 20% | 7 benchmarks | Verified |
| ReasoningRank Not rankedWeight 17%1 benchmarkVerified | 68.3 | Not ranked | Not available | 17% | 1 benchmark | Verified |
| KnowledgeRank #42 of 183Percentile 77thWeight 12%1 benchmarkVerified | 57.9 | #42 of 183 | 77th | 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 | 66.1 | Not ranked | Not available | 12% | 10 benchmarks | Verified |
| Inst. FollowingRank #38 of 123Percentile 70thWeight 5%2 benchmarksVerified | 86.3 | #38 of 123 | 70th | 5% | 2 benchmarks | Verified |
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.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score61% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap20.2 behind | WeightWeighted 25% | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score78.4% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap17.6 behind | WeightWeighted 10% | Provider exact |
| SWE Multilingual | Score75.7% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap13.8 behind | WeightWeighted 5% | Provider exact |
| CodeforcesCodeforces Rating | Score3056.0 | Versus best verified row Best verified: DeepSeek V4.1 Flash · 3471.0 | Gap415 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: SWE-2 · 92.8% | Gap17.7 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score49.8% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 65.4% | Gap15.6 behind | WeightDisplay only | Provider exact |
| 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 25% | Provider exact |
| Claw-Eval | Score73.4% | Versus best verified row Best verified: Ornith-1.5-397B · 81.4% | Gap8 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score75.1% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap17.7 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: Hy4 preview · 83.9% | Gap5 behind | WeightDisplay only | Provider exact |
| 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-6 Astra · 95% | Gap13.6 behind | WeightWeighted 25% | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score52.6% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap12.4 behind | WeightWeighted 35% | Provider exact |
| 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 |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score79.1% | Versus best verified row Best verified: Gemini 3.5 Flash · 83.6% | Gap4.5 behind | WeightWeighted 40% | 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 |
| 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 70% | Provider exact |
| IFEvalInstruction-Following Eval | Score93.9% | Versus best verified row Best verified: Qwen3.5-27B · 95% | Gap1.1 behind | WeightDisplay only | Provider exact |
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.
Aug 14, 2026 · you are here
dots3-note PreviewScore 64.4 · Price not listed
preview · Preview
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
dots3-note Preview ranks #40 of 232 on the public leaderboard with a score of 64.41/100. It does not yet have enough sourced coverage for a verified position.
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 435 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #25, while its lowest eligible position is Knowledge at #42. particularly useful for coding agents, browser research, and computer-use workflows.
Dots Studio · Model release
Radar confirmed these at the source. Use dots3-note Preview in your work? Explore Radar to follow supported changes and choose your alerts.
dots3-note Preview ranks #40 out of 232 models on the public BenchAlign leaderboard, with a score of 64.41/100. Its evidence status is Estimated, and this profile shows 31 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
dots3-note Preview ranks #42 out of 183 eligible models for knowledge and understanding, with a public category score of 57.9/100. 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.
dots3-note Preview ranks #34 out of 151 eligible models for coding and programming, with a public category score of 57.2/100. 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.
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.
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.
dots3-note Preview ranks #25 out of 152 eligible models for agentic tool use and computer tasks, with a public category score of 59.3/100. 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.
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.
dots3-note Preview ranks #38 out of 123 eligible models for instruction following, with a public category score of 86.3/100. 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.
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.
No. dots3-note Preview currently has 31 source-displayable rows across 435 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.
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.
Related resources
Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.
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