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A · open · Other

Atria Dawn Preview

Shanghai AI Lab

B · open · Other

MiMo-V2.5-Pro

Xiaomi

1:2

overall capability wins (0 ties across 3 scored). Atria Dawn Preview leads overall.

  • Tool use1:0
  • Specs0:2

Verdict

MiMo-V2.5-Pro offers ~3.9x larger context (1M vs 256K).

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Atria Dawn Preview
-
MiMo-V2.5-Pro
-

Price per 1M tokens

Full comparison

Organization

Shanghai AI Lab

Xiaomi

Family

Other

Other

License

MIT

MIT

Open weights

Yes

Yes

Release

Sep 11, 2026

Apr 27, 2026

Knowledge cutoff

-

-

API / provider

No primary API price listed

No primary API price listed

Modalities

text → text

text → text

Specs

Context window

256K

1M

B +744K

Max output

66K

-

—

Parameters

744B

1.0T (42B act.)

B +276

Pricing

Input $/1M

—

—

—

Output $/1M

—

—

—

Blended $/1M (3∶1)

-

-

—

Speed

tok/s

-

-

—

TTFT (s)

-

-

—

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

—

86.6

—

Humanity's Last Exam

—

35.7

—

AIME 2025

—

—

—

MATH-500

—

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

—

22.4

—

AA-LCR v1.1

—

79.7

—

CritPt

—

4.0

—

MMMU-Pro

—

—

—

IFBench

—

79.9

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

59.6

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

—

—

—

Terminal-Bench 2.1

—

65.2

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

—

50.6

—

CursorBench

—

—

—

SWE-Rebench

—

44.4

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

—

1,475

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

—

1,467

—

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.

MiMo-V2.5-Pro

Context
1M
Parameters
1.0T (42B act.)
Price
—
Speed
—
Modalities
text → text
License
MIT

Xiaomi's flagship open-weight MoE model (1.02T total / 42B active parameters) in the MiMo-V2.5 series, tuned for coding, reasoning, and long-horizon agent tasks with a 1M-token context window, released under the MIT license.

Benchmark charts

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

Tool use & function calling

τ³-Banking: A +31.3

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