vs
0:3
overall capability wins (0 ties across 3 scored). Hy4 Preview leads overall.
- Reasoning0:1
- Specs0:2
Verdict
Hy4 Preview edges reasoning & knowledge; Hy4 Preview offers ~3.8x larger context (1M vs 262K).
- Hy4 Preview edges reasoning & knowledge
- Hy4 Preview offers ~3.8x larger context (1M vs 262K)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Agnes-3.0-Flash Preview
- -
- Hy4 Preview
- $1.46
Price per 1M tokens
Full comparison
Organization
Agnes AI
Tencent
Family
Other
Other
License
Apache 2.0
Apache 2.0
Open weights
Yes
Yes
Release
Sep 13, 2026
Aug 28, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
Tencent Cloud TokenHub
Modalities
text, image, video → text
text → text
Specs
Context window
262K
1M
Max output
-
-
Parameters
33B
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
85.0
92.3
Humanity's Last Exam
—
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
23.0
—
AA-LCR v1.1
68.3
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
74.2
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
65.7
SWE-bench Multilingual
—
82.9
LiveCodeBench
—
—
Terminal-Bench 2.1
—
85.4
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
38.1
—
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 | Agnes-3.0-Flash Preview | Hy4 Preview | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Agnes AI | Tencent | — |
| Family | Other | Other | — |
| License | Apache 2.0 | Apache 2.0 | — |
| Open weights | Yes | Yes | — |
| Release | Sep 13, 2026 | Aug 28, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | Tencent Cloud TokenHub | — |
| Modalities | text, image, video → text | text → text | — |
| Specs | |||
| Context window | 262K | 1M | B +738K |
| Max output | - | - | — |
| Parameters | 33B | 770B (49B act.) | B +737 |
| 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 | 85.0 | 92.3 | B +7.3 pts |
| Humanity's Last Exam | — | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 23.0 | — | — |
| AA-LCR v1.1 | 68.3 | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | 74.2 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | 65.7 | — |
| SWE-bench Multilingual | — | 82.9 | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 85.4 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 38.1 | — | — |
| 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 | — | — | — |
Agnes-3.0-Flash Preview
- Context
- 262K
- Parameters
- 33B
- Price
- —
- Speed
- —
- Modalities
- text, image, video → text
- License
- Apache 2.0
Agnes AI's (Sapiens AI, Singapore) first open-weight release: a 33B-parameter hybrid-attention model (54 gated delta-rule recurrent layers alternating with 18 global-attention layers, 3:1) under Apache 2.0, with a 262K-token context window and text/image/video input. This open-weight Preview checkpoint is distinct from Agnes AI's production "Agnes 3.0 Flash" API model, which runs a different checkpoint and is not open-weight; the two should not be conflated.
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.