vs
1:0
overall capability wins (0 ties across 1 scored). Hunyuan-Turbo leads overall.
- Pricing0:3
- Specs1:0
Verdict
Hunyuan-Turbo offers ~2.0x larger context (256K vs 128K); Mercury 2 is ~2.9x cheaper on a blended token basis than Hunyuan-Turbo.
- Hunyuan-Turbo offers ~2.0x larger context (256K vs 128K)
- Mercury 2 is ~2.9x cheaper on a blended token basis than Hunyuan-Turbo
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Hunyuan-Turbo
- $1.30
- Mercury 2
- $0.44
Mercury 2 is about 3.0x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Tencent
Inception Labs
Family
Other
Other
License
Proprietary
Proprietary
Open weights
No
No
Release
Sep 5, 2024
Sep 1, 2026
Knowledge cutoff
-
-
API / provider
Tencent
Inception Labs
Modalities
text → text
text → text
Specs
Context window
256K
128K
Max output
8K
-
Parameters
—
—
Pricing
Input $/1M
$0.80
$0.25
Output $/1M
$2
$0.75
Blended $/1M (3∶1)
$1.10
$0.38
Speed
tok/s
70
-
TTFT (s)
0.4
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
77.0
Humanity's Last Exam
—
17.1
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
21.2
AA-LCR v1.1
—
43.7
CritPt
—
0.8
MMMU-Pro
—
—
IFBench
—
69.8
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
27.3
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
37.7
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
1,167
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Hunyuan-Turbo | Mercury 2 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Tencent | Inception Labs | — |
| Family | Other | Other | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Sep 5, 2024 | Sep 1, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Tencent | Inception Labs | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 256K | 128K | A +128K |
| Max output | 8K | - | — |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $0.80 | $0.25 | B +$0.55 |
| Output $/1M | $2 | $0.75 | B +$1.25 |
| Blended $/1M (3∶1) | $1.10 | $0.38 | B +$0.73 |
| Speed | |||
| tok/s | 70 | - | — |
| TTFT (s) | 0.4 | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | 77.0 | — |
| Humanity's Last Exam | — | 17.1 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | 21.2 | — |
| AA-LCR v1.1 | — | 43.7 | — |
| CritPt | — | 0.8 | — |
| MMMU-Pro | — | — | — |
| IFBench | — | 69.8 | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 27.3 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | 37.7 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | 1,167 | — |
| 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.
Mercury 2
- Context
- 128K
- Parameters
- —
- Price
- $0.25 / $0.75
- Speed
- —
- Modalities
- text → text
- License
- Proprietary
Inception Labs' diffusion-based (non-autoregressive) reasoning LLM, API-only with a 128K context window and high-throughput inference on Blackwell GPUs.
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.