vs
0:3
overall capability wins (0 ties across 3 scored). Hy4 Preview leads overall.
- Coding0:1
- Specs0:2
Verdict
Hy4 Preview leads coding (widest gap: +6.1 on SWE-Pro); Hy4 Preview offers ~3.9x larger context (1M vs 256K).
- Hy4 Preview leads coding (widest gap: +6.1 on SWE-Pro)
- Hy4 Preview 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
- -
- Hy4 Preview
- $1.46
Price per 1M tokens
Full comparison
Organization
Shanghai AI Lab
Tencent
Family
Other
Other
License
MIT
Apache 2.0
Open weights
Yes
Yes
Release
Sep 11, 2026
Aug 28, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
Tencent Cloud TokenHub
Modalities
text → text
text → text
Specs
Context window
256K
1M
Max output
66K
-
Parameters
744B
770B (49B act.)
Pricing
Input $/1M
—
$0.83
Output $/1M
—
$2.50
Blended $/1M (3∶1)
-
$1.25
Speed
tok/s
-
-
TTFT (s)
-
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
92.3
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
65.7
SWE-bench Multilingual
—
82.9
LiveCodeBench
—
—
Terminal-Bench 2.1
—
85.4
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
64.3
WebDev Arena
—
1,624
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Atria Dawn Preview | Hy4 Preview | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Shanghai AI Lab | Tencent | — |
| Family | Other | Other | — |
| License | MIT | Apache 2.0 | — |
| Open weights | Yes | Yes | — |
| Release | Sep 11, 2026 | Aug 28, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | Tencent Cloud TokenHub | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 256K | 1M | B +744K |
| Max output | 66K | - | — |
| Parameters | 744B | 770B (49B act.) | B +26 |
| Pricing | |||
| Input $/1M | — | $0.83 | — |
| Output $/1M | — | $2.50 | — |
| Blended $/1M (3∶1) | - | $1.25 | — |
| Speed | |||
| tok/s | - | - | — |
| TTFT (s) | - | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | 92.3 | — |
| 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 | 65.7 | B +6.1 pts |
| SWE-bench Multilingual | — | 82.9 | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 85.4 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | 64.3 | — |
| WebDev Arena | — | 1,624 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
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.
Hy4 Preview
- Context
- 1M
- Parameters
- 770B (49B act.)
- Price
- $0.83 / $2.50
- Speed
- —
- Modalities
- text → text
- License
- Apache 2.0
Tencent Hy Team's Aug 28, 2026 open-weight flagship (770B MoE / 49B active, Apache 2.0) with a 1M context window and default high reasoning effort. Text-only instruct weights on Hugging Face; hosted API at $0.834/$2.501 per 1M tokens via TokenHub and OpenRouter.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.