Capability
Unranked
field median 56.3
Not eligible for a public rank
Keep up with the models you depend on. Follow price changes, retirements, and API updates.Follow the models you depend on.
Follow model changesReleased Sep 14, 2026 — see all recent releases
Data as of September 14, 2026 · How the score is built
Share or export
Agentic ranks #31. Particularly useful for coding agents, browser research, and computer-use workflows.
13 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
Unranked
field median 56.3
Not eligible for a public rank
Price
Self-hosted; infrastructure cost varies
input median $0.97
No comparable first-party hosted token rate
Speed
Not measured
field median 91.5 tok/s
Time to first token not measured
Context
256Ktokens
field median 256,000
Maximum output length is tracked separately
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 #31 of 153Percentile 80thWeight 22%11 benchmarksVerified | 57.9 | #31 of 153 | 80th | 22% | 11 benchmarks | Verified |
| CodingRank #51 of 152Percentile 67thWeight 20%2 benchmarksVerified | 51.6 | #51 of 152 | 67th | 20% | 2 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| 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 |
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 | Score59.6% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap21.6 behind | WeightWeighted 25% | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score78.3% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap14.5 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| BrowseComp | Score92.5% | Versus best verified row Best verified: Atria Dawn Preview · 92.5% | GapBest verified | WeightWeighted 25% | Provider exact |
| AutomationBench | Score53.8% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 54.8% | Gap1 behind | WeightWeighted 10% | Provider exact |
| BFCL v4Berkeley Function Calling Leaderboard v4 | Score77.0% | Versus best verified row Best verified: BTL-3 · 88.5% | Gap11.5 behind | WeightDisplay only | Provider exact |
| CyberGym | Score86.5% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 88.1% | Gap1.6 behind | WeightDisplay only | Provider exact |
| DeepSearchQA | Score96.0% | Versus best verified row Best verified: Atria Dawn Preview · 96.0% | GapBest verified | WeightDisplay only | Provider exact |
| skillsBench | Score66.4% | Versus best verified row Best verified: Qwen3.8 Max · 70.2% | Gap3.8 behind | WeightDisplay only | Provider exact |
| MLE-Bench Lite | Score86.2% | Versus best verified row Best verified: Atria Dawn Preview · 86.2% | GapBest verified | WeightDisplay only | Provider exact |
| WideResearch | Score81.9% | Versus best verified row Best verified: Hy4 preview · 83.9% | Gap2 behind | WeightDisplay only | Provider exact |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | Score41.2% | Versus best verified row Best verified: Mercury 2.5 · 96.0% | Gap54.8 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score78.3% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap14.5 behind | WeightDisplay only | Provider exact |
| JobBench | Score50.3% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | Gap14.6 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.
Sep 14, 2026 · you are here
Atria Dawn PreviewNot publicly ranked · 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.
We track Atria Dawn Preview, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Atria Dawn Preview is a open weight model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Shanghai Artificial Intelligence Laboratory publishes the full-precision and FP8 Atria Dawn Preview checkpoints under MIT for self-hosting. Atria also provides hosted access through Chat Completions, Messages, and Responses-compatible APIs with the exact model ID `Atria-Dawn-Preview`; no first-party token rate is published.
13 of 435 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #31, while its lowest eligible position is Coding at #51. particularly useful for coding agents, browser research, and computer-use workflows.
Shanghai Artificial Intelligence Laboratory · Model release
Radar confirmed these at the source. Use Atria Dawn Preview in your work? Explore Radar to follow supported changes and choose your alerts.
Atria Dawn Preview has 13 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.
Atria Dawn Preview ranks #51 out of 152 eligible models for coding and programming, with a public category score of 51.6/100. 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.
Atria Dawn Preview ranks #31 out of 153 eligible models for agentic tool use and computer tasks, 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.
Atria Dawn Preview is an open-weight model from Shanghai Artificial Intelligence Laboratory. 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. Atria Dawn Preview currently has 14 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.
Atria Dawn Preview has a documented context window of 256K. 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 14, 2026. Runtime fields remain blank until a sourced snapshot exists.
Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.
Read a sample issueJoin 2,000+ readers.