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A · open · Other

Atria Dawn Preview

Shanghai AI Lab

B · closed · Other

Reka Core

Reka

2:0

overall capability wins (0 ties across 2 scored). Atria Dawn Preview leads overall.

  • Specs2:0

Verdict

Atria Dawn Preview offers ~2.0x larger context (256K vs 128K); Atria Dawn Preview allows ~16.0x more max output (66K vs 4K); Atria Dawn Preview ships open weights (MIT).

  • Atria Dawn Preview offers ~2.0x larger context (256K vs 128K)
  • Atria Dawn Preview allows ~16.0x more max output (66K vs 4K)
  • Atria Dawn Preview ships open weights (MIT)

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Atria Dawn Preview
-
Reka Core
$3.50

Price per 1M tokens

Full comparison

Organization

Shanghai AI Lab

Reka

Family

Other

Other

License

MIT

Proprietary

Open weights

Yes

No

Release

Sep 11, 2026

Apr 15, 2024

Knowledge cutoff

-

-

API / provider

No primary API price listed

Reka

Modalities

text → text

text, image, video → text

Specs

Context window

256K

128K

A +128K

Max output

66K

4K

A +61K

Parameters

744B

—

—

Pricing

Input $/1M

—

$2

—

Output $/1M

—

$6

—

Blended $/1M (3∶1)

-

$3

—

Speed

tok/s

-

70

—

TTFT (s)

-

0.5

—

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

—

—

—

Humanity's Last Exam

—

—

—

AIME 2025

—

—

—

MATH-500

—

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

—

—

—

AA-LCR v1.1

—

—

—

CritPt

—

—

—

MMMU-Pro

—

—

—

IFBench

—

—

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

59.6

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

—

—

—

Terminal-Bench 2.1

—

—

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

—

—

—

CursorBench

—

—

—

SWE-Rebench

—

—

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

—

—

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

—

1,288

—

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.

Reka Core

Context
128K / 4K out
Parameters
—
Price
$2 / $6
Speed
70 tok/s · 0.5s TTFT
Modalities
text, image, video → text
License
Proprietary

Reka flagship multimodal model for complex reasoning over mixed media inputs.

Benchmark charts

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

These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.

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