vs
4:0
overall capability wins (0 ties across 4 scored). Atria Dawn Preview leads overall.
- Coding1:0
- Tool use1:0
- Specs2:0
Verdict
Atria Dawn Preview leads coding (widest gap: +3.4 on SWE-Pro); Atria Dawn Preview offers larger context (256K vs 205K); Atria Dawn Preview allows ~4.0x more max output (66K vs 16K).
- Atria Dawn Preview leads coding (widest gap: +3.4 on SWE-Pro)
- Atria Dawn Preview offers larger context (256K vs 205K)
- Atria Dawn Preview allows ~4.0x more max output (66K vs 16K)
- Atria Dawn Preview ships open weights (MIT)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Atria Dawn Preview
- -
- MiniMax M2.7
- $0.60
Price per 1M tokens
Full comparison
Organization
Shanghai AI Lab
MiniMax
Family
Other
Other
License
MIT
Proprietary
Open weights
Yes
No
Release
Sep 11, 2026
Mar 18, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
MiniMax
Modalities
text → text
text, image → text
Specs
Context window
256K
205K
Max output
66K
16K
Parameters
744B
—
Pricing
Input $/1M
—
$0.30
Output $/1M
—
$1.20
Blended $/1M (3∶1)
-
$0.52
Speed
tok/s
-
85
TTFT (s)
-
0.35
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
87.4
Humanity's Last Exam
—
29.6
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
26.8
AA-LCR v1.1
—
78.3
CritPt
—
0.6
MMMU-Pro
—
—
IFBench
—
75.7
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
59.6
56.2
SWE-bench Multilingual
—
76.5
LiveCodeBench
—
—
Terminal-Bench 2.1
—
55.4
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
50.1
CursorBench
—
—
SWE-Rebench
—
51.9
NL2Repo-Bench
—
39.8
DeepSWE
—
—
WebDev Arena
—
1,398
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
1,415
| Metric | Atria Dawn Preview | MiniMax M2.7 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Shanghai AI Lab | MiniMax | — |
| Family | Other | Other | — |
| License | MIT | Proprietary | — |
| Open weights | Yes | No | — |
| Release | Sep 11, 2026 | Mar 18, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | MiniMax | — |
| Modalities | text → text | text, image → text | — |
| Specs | |||
| Context window | 256K | 205K | A +51K |
| Max output | 66K | 16K | A +49K |
| Parameters | 744B | — | — |
| Pricing | |||
| Input $/1M | — | $0.30 | — |
| Output $/1M | — | $1.20 | — |
| Blended $/1M (3∶1) | - | $0.52 | — |
| Speed | |||
| tok/s | - | 85 | — |
| TTFT (s) | - | 0.35 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | 87.4 | — |
| Humanity's Last Exam | — | 29.6 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | 26.8 | — |
| AA-LCR v1.1 | — | 78.3 | — |
| CritPt | — | 0.6 | — |
| MMMU-Pro | — | — | — |
| IFBench | — | 75.7 | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | 59.6 | 56.2 | A +3.4 pts |
| SWE-bench Multilingual | — | 76.5 | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 55.4 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | 50.1 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | 51.9 | — |
| NL2Repo-Bench | — | 39.8 | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | 1,398 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | 1,415 | — |
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.
MiniMax M2.7
- Context
- 205K / 16K out
- Parameters
- —
- Price
- $0.30 / $1.20
- Speed
- 85 tok/s · 0.35s TTFT
- Modalities
- text, image → text
- License
- Proprietary
MiniMax M2.7 (Mar 2026) — prior coding-focused API flagship before M3; strong STEM and long-context multimodal chat.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.