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Atria Dawn Preview

Released Sep 14, 2026 see all recent releases

Decision reading
Atria Dawn Preview is tracked, but not publicly ranked yet. The profile exposes 13 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of September 14, 2026 · How the score is built

Strongest published evidence

Agentic ranks #31. Particularly useful for coding agents, browser research, and computer-use workflows.

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.

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

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.

  1. Agentic11/11 verified
  2. Coding2/2 verified
  3. ReasoningNot measured
  4. KnowledgeNot measured
  5. MathNot measured
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. 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
Atria-Dawn-PreviewAtria Dawn 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
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.
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 recordAtria Dawn 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 parameters

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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #31 of 153Percentile 80thWeight 22%11 benchmarksVerified57.9
CodingRank #51 of 152Percentile 67thWeight 20%2 benchmarksVerified51.6
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot 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.

Coding2 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore59.6%Versus best verified row

Best verified: Claude Fable 5.1 · 81.2%

Gap21.6 behindWeightWeighted 25%
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score78.3%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap14.5 behindWeightDisplay only
Agentic11 rows
Agentic benchmark values, best verified comparison, weight, and source status
BrowseCompScore92.5%Versus best verified row

Best verified: Atria Dawn Preview · 92.5%

GapBest verifiedWeightWeighted 25%
AutomationBenchScore53.8%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 54.8%

Gap1 behindWeightWeighted 10%
BFCL v4Berkeley Function Calling Leaderboard v4Score77.0%Versus best verified row

Best verified: BTL-3 · 88.5%

Gap11.5 behindWeightDisplay only
CyberGymScore86.5%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 88.1%

Gap1.6 behindWeightDisplay only
DeepSearchQAScore96.0%Versus best verified row

Best verified: Atria Dawn Preview · 96.0%

GapBest verifiedWeightDisplay only
skillsBenchScore66.4%Versus best verified row

Best verified: Qwen3.8 Max · 70.2%

Gap3.8 behindWeightDisplay only
MLE-Bench LiteScore86.2%Versus best verified row

Best verified: Atria Dawn Preview · 86.2%

GapBest verifiedWeightDisplay only
WideResearchScore81.9%Versus best verified row

Best verified: Hy4 preview · 83.9%

Gap2 behindWeightDisplay only
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore41.2%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

Gap54.8 behindWeightDisplay only
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score78.3%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap14.5 behindWeightDisplay only
JobBenchScore50.3%Versus best verified row

Best verified: Muse Spark 1.3 · 64.9%

Gap14.6 behindWeightDisplay 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.

  1. Sep 14, 2026 · you are here

    Atria Dawn Preview

    Not 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 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.

Radar

Atria Dawn Preview release history

Full release history

Radar confirmed these at the source. Use Atria Dawn Preview in your work? Explore Radar to follow supported changes and choose your alerts.

Frequently asked questions

How does Atria Dawn Preview perform overall in AI benchmarks?

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.

Is Atria Dawn Preview good for coding and programming?

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.

Is Atria Dawn Preview good for agentic tool use and computer tasks?

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.

Is Atria Dawn Preview open source?

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.

Does Atria Dawn Preview have full benchmark coverage on BenchLM?

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.

What is the context window size of Atria Dawn Preview?

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.

Compare Atria Dawn Preview with every tracked model483 comparisons

Last updated September 14, 2026. Runtime fields remain blank until a sourced snapshot exists.

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