vs
0:1
overall capability wins (0 ties across 1 scored). Hy4 Preview leads overall.
- Pricing3:0
- Specs0:1
Verdict
Hy4 Preview offers ~3.9x larger context (1M vs 256K); Hy4 Preview ships open weights (Apache 2.0).
- Hy4 Preview offers ~3.9x larger context (1M vs 256K)
- Hy4 Preview ships open weights (Apache 2.0)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Hunyuan-Turbo
- $1.30
- Hy4 Preview
- $1.46
Hunyuan-Turbo is about 1.1x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Tencent
Tencent
Family
Other
Other
License
Proprietary
Apache 2.0
Open weights
No
Yes
Release
Sep 5, 2024
Aug 28, 2026
Knowledge cutoff
-
-
API / provider
Tencent
Tencent Cloud TokenHub
Modalities
text → text
text → text
Specs
Context window
256K
1M
Max output
8K
-
Parameters
—
770B (49B act.)
Pricing
Input $/1M
$0.80
$0.83
Output $/1M
$2
$2.50
Blended $/1M (3∶1)
$1.10
$1.25
Speed
tok/s
70
-
TTFT (s)
0.4
-
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
—
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 | Hunyuan-Turbo | Hy4 Preview | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Tencent | Tencent | — |
| Family | Other | Other | — |
| License | Proprietary | Apache 2.0 | — |
| Open weights | No | Yes | — |
| Release | Sep 5, 2024 | Aug 28, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Tencent | Tencent Cloud TokenHub | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 256K | 1M | B +744K |
| Max output | 8K | - | — |
| Parameters | — | 770B (49B act.) | — |
| Pricing | |||
| Input $/1M | $0.80 | $0.83 | A +$0.03 |
| Output $/1M | $2 | $2.50 | A +$0.50 |
| Blended $/1M (3∶1) | $1.10 | $1.25 | A +$0.15 |
| Speed | |||
| tok/s | 70 | - | — |
| TTFT (s) | 0.4 | - | — |
| 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 | — | 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 | — | — | — |
Hunyuan-Turbo
- Context
- 256K / 8K out
- Parameters
- —
- Price
- $0.80 / $2
- Speed
- 70 tok/s · 0.4s TTFT
- Modalities
- text → text
- License
- Proprietary
Tencent Hunyuan turbo MoE API — strong Chinese enterprise chat and agent workflows.
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.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.