vs
1:2
overall capability wins (0 ties across 3 scored). Seed 2.0 Pro leads overall.
- Reasoning0:2
- Specs1:0
Verdict
Seed 2.0 Pro edges reasoning & knowledge; K2 Horizon 375B A23B offers ~2.0x larger context (524K vs 256K); K2 Horizon 375B A23B ships open weights (Apache 2.0).
- Seed 2.0 Pro edges reasoning & knowledge
- K2 Horizon 375B A23B offers ~2.0x larger context (524K vs 256K)
- K2 Horizon 375B A23B ships open weights (Apache 2.0)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- K2 Horizon 375B A23B
- -
- Seed 2.0 Pro
- $1.20
Price per 1M tokens
Full comparison
Organization
MBZUAI Institute of Foundation Models
ByteDance
Family
Other
Other
License
Apache 2.0
Proprietary
Open weights
Yes
No
Release
Sep 3, 2026
Apr 1, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
BytePlus ModelArk
Modalities
text → text
text, image → text
Specs
Context window
524K
256K
Max output
-
33K
Parameters
375B (23B act.)
—
Pricing
Input $/1M
—
$0.60
Output $/1M
—
$2.40
Blended $/1M (3∶1)
-
$1.05
Speed
tok/s
-
85
TTFT (s)
-
0.35
Reasoning
MMLU-Pro
—
—
GPQA Diamond
87.3
88.9
Humanity's Last Exam
32.0
32.4
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
18.2
—
AA-LCR v1.1
80.0
—
CritPt
4.6
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
46.9
SWE-bench Multilingual
—
71.7
LiveCodeBench
—
—
Terminal-Bench 2.1
71.9
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
42.9
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
27.9
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | K2 Horizon 375B A23B | Seed 2.0 Pro | Delta |
|---|---|---|---|
| Identity | |||
| Organization | MBZUAI Institute of Foundation Models | ByteDance | — |
| Family | Other | Other | — |
| License | Apache 2.0 | Proprietary | — |
| Open weights | Yes | No | — |
| Release | Sep 3, 2026 | Apr 1, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | BytePlus ModelArk | — |
| Modalities | text → text | text, image → text | — |
| Specs | |||
| Context window | 524K | 256K | A +268K |
| Max output | - | 33K | — |
| Parameters | 375B (23B act.) | — | — |
| Pricing | |||
| Input $/1M | — | $0.60 | — |
| Output $/1M | — | $2.40 | — |
| Blended $/1M (3∶1) | - | $1.05 | — |
| Speed | |||
| tok/s | - | 85 | — |
| TTFT (s) | - | 0.35 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 87.3 | 88.9 | B +1.6 pts |
| Humanity's Last Exam | 32.0 | 32.4 | B +0.4 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 18.2 | — | — |
| AA-LCR v1.1 | 80.0 | — | — |
| CritPt | 4.6 | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | 46.9 | — |
| SWE-bench Multilingual | — | 71.7 | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 71.9 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 42.9 | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | 27.9 | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
K2 Horizon 375B A23B
- Context
- 524K
- Parameters
- 375B (23B act.)
- Price
- —
- Speed
- —
- Modalities
- text → text
- License
- Apache 2.0
Flagship model (375B MoE / 23B active) in the Institute of Foundation Models' K2 Horizon fleet, released fully open — weights, code, training data, and methodology — under Apache 2.0.
Seed 2.0 Pro
- Context
- 256K / 33K out
- Parameters
- —
- Price
- $0.60 / $2.40
- Speed
- 85 tok/s · 0.35s TTFT
- Modalities
- text, image → text
- License
- Proprietary
ByteDance Seed team Pro model - competitive multimodal chat via ModelArk.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.