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Atria Dawn Preview vs Kimi K2.7 Code

Atria Dawn Preview leads the LLM Stats Score 52.3 to 39.4.

Shanghai AI Laboratory · Moonshot AI · Updated for 2026

Which is better?

Atria Dawn Preview leads the overall LLM Stats Score 52.3 to 39.4, ranking #10 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Atria Dawn Preview

  • overall performance matters — it scores 52.3 and ranks #10 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Kimi K2.7 Code

  • you want predictable pricing at $0.68/M input and $3.40/M output

At a glance

The differences that matter most.

Atria Dawn Preview
Shanghai AI Laboratory
Kimi K2.7 Code
Moonshot AI
Core performance indexes
LLM Stats Score
52.3
#10
39.4
#59
Reasoning
50.5
#12
34.3
#89
Coding
36.2
#22
30.7
#49
Agents
38.8
#10
27.0
#46
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$3.40 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Atria Dawn Preview
Kimi K2.7 Code
Tool use
31.1#12
24.0#40
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Atria Dawn Preview · 9 for Kimi K2.7 Code

No common benchmarks found

Atria Dawn Preview and Kimi K2.7 Codedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

256.0B diff

Kimi K2.7 Code has 256.0B more parameters than Atria Dawn Preview, making it 34.4% larger.

Shanghai AI Laboratory
Atria Dawn Preview
744.0Bparameters
Moonshot AI
Kimi K2.7 Code
1.0Tparameters
744.0B
Atria Dawn Preview
1000.0B
Kimi K2.7 Code

Context Window

Maximum input and output token capacity

Only Kimi K2.7 Code specifies input context (262,144 tokens). Only Kimi K2.7 Code specifies output context (262,144 tokens).

Shanghai AI Laboratory
Atria Dawn Preview
Input- tokens
Output- tokens
Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output262,144 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.7 Code supports multimodal inputs, whereas Atria Dawn Preview does not.

Kimi K2.7 Code can handle both text and other forms of data like images, making it suitable for multimodal applications.

Atria Dawn Preview

Text
Images
Audio
Video

Kimi K2.7 Code

Text
Images
Audio
Video

License

Usage and distribution terms

Atria Dawn Preview is licensed under MIT, while Kimi K2.7 Code uses Modified MIT License.

License differences may affect how you can use these models in commercial or open-source projects.

Atria Dawn Preview

MIT

Open weights

Kimi K2.7 Code

Modified MIT License

Open weights

Release Timeline

When each model was launched

Atria Dawn Preview was released on 2026-09-11, while Kimi K2.7 Code was released on 2026-06-12.

Atria Dawn Preview is 3 months newer than Kimi K2.7 Code.

Atria Dawn Preview

Sep 11, 2026

1 weeks ago

3mo newer
Kimi K2.7 Code

Jun 12, 2026

3 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Atria Dawn Preview and Kimi K2.7 Code side-by-side, then vote on the output you prefer.

Atria Dawn Preview
✓ Preferred
Kimi K2.7 Code
Open in Playground

FAQ

Common questions about Atria Dawn Preview vs Kimi K2.7 Code.

Which is better, Atria Dawn Preview or Kimi K2.7 Code?

Atria Dawn Preview leads the LLM Stats Score 52.3 to 39.4. Atria Dawn Preview is made by Shanghai AI Laboratory and Kimi K2.7 Code is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Atria Dawn Preview compare to Kimi K2.7 Code in benchmarks?

Atria Dawn Preview scores DeepSearchQA: 96.0%, BrowseComp: 92.5%, CyberGym: 86.5%, MLE-Bench Lite: 86.2%, WideSearch: 81.9%. Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%.

What are the context window sizes for Atria Dawn Preview and Kimi K2.7 Code?

Atria Dawn Preview supports an unknown number of tokens and Kimi K2.7 Code supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Atria Dawn Preview and Kimi K2.7 Code?

Key differences include LLM Stats Score (52.3 vs 39.4), multimodal support (no vs yes), licensing (MIT vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes Atria Dawn Preview and Kimi K2.7 Code?

Atria Dawn Preview is developed by Shanghai AI Laboratory and Kimi K2.7 Code is developed by Moonshot AI.

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