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Atria Dawn Preview

Shanghai AI Lab

B · open · Other

Inkling-Small

Thinking Machines

3:2

overall capability wins (0 ties across 5 scored). Atria Dawn Preview leads overall.

  • Coding1:0
  • Tool use1:0
  • Specs1:2

Verdict

Atria Dawn Preview leads coding (widest gap: +3.7 on SWE-Pro); Inkling-Small offers ~4.1x larger context (1.0M vs 256K); Inkling-Small allows ~2.0x more max output (131K vs 66K).

  • Atria Dawn Preview leads coding (widest gap: +3.7 on SWE-Pro)
  • Inkling-Small offers ~4.1x larger context (1.0M vs 256K)
  • Inkling-Small allows ~2.0x more max output (131K vs 66K)

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Atria Dawn Preview
-
Inkling-Small
$0.94

Price per 1M tokens

Full comparison

Organization

Shanghai AI Lab

Thinking Machines

Family

Other

Other

License

MIT

Apache 2.0

Open weights

Yes

Yes

Release

Sep 11, 2026

Jul 30, 2026

Knowledge cutoff

-

-

API / provider

No primary API price listed

Tinker (ref.)

Modalities

text → text

text, image, audio → text

Specs

Context window

256K

1.0M

B +793K

Max output

66K

131K

B +66K

Parameters

744B

276B (12B act.)

A +468

Pricing

Input $/1M

—

$0.58

—

Output $/1M

—

$1.44

—

Blended $/1M (3∶1)

-

$0.79

—

Speed

tok/s

-

85

—

TTFT (s)

-

0.35

—

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

—

89.5

—

Humanity's Last Exam

—

33.3

—

AIME 2025

—

—

—

MATH-500

—

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

—

33.2

—

AA-LCR v1.1

—

75.7

—

CritPt

—

8.3

—

MMMU-Pro

—

74.0

—

IFBench

—

—

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

80.2

—

SWE-bench Pro

59.6

55.9

A +3.7 pts

SWE-bench Multilingual

—

—

—

LiveCodeBench

—

—

—

Terminal-Bench 2.1

—

55.1

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

—

49.7

—

CursorBench

—

—

—

SWE-Rebench

—

—

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

—

1,407

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

—

1,405

—

Atria Dawn Preview

Context
256K / 66K out
Parameters
744B
Price
—
Speed
—
Modalities
text → text
License
MIT

Shanghai AI Laboratory's open-weight agentic MoE (744B total, MIT license, 256K context), built on a GLM-5.2 base and trained by the cross-institutional ATRIA initiative (with Fudan NLP Lab) for long-horizon research and engineering workflows: problem analysis, tool use, code, experiments, and failure recovery. Benchmark scores are from the model's own technical report and have not yet been independently verified by a third-party evaluator.

Inkling-Small

Context
1.0M / 131K out
Parameters
276B (12B act.)
Price
$0.58 / $1.44
Speed
85 tok/s · 0.35s TTFT
Modalities
text, image, audio → text
License
Apache 2.0

Efficient Inkling sibling (276B / 12B active MoE) — matches or beats Inkling on many benchmarks at ~¼ the size; Apache 2.0 weights with Tinker fine-tuning access.

Benchmark charts

Winner bars are emphasized. Per-benchmark deltas sit above each chart.

Coding

SWE-Pro: A +3.7

Tool use & function calling

τ³-Banking: A +22.4

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