vs
1:6
overall capability wins (0 ties across 7 scored). K2 Horizon 375B A23B leads overall.
- Reasoning1:4
- Specs0:2
Verdict
K2 Horizon 375B A23B edges reasoning & knowledge; K2 Horizon 375B A23B offers ~4.0x larger context (524K vs 131K).
- K2 Horizon 375B A23B edges reasoning & knowledge
- K2 Horizon 375B A23B offers ~4.0x larger context (524K vs 131K)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- INTELLECT-3
- -
- K2 Horizon 375B A23B
- -
Price per 1M tokens
Full comparison
Organization
Prime Intellect
MBZUAI Institute of Foundation Models
Family
Other
Other
License
MIT
Apache 2.0
Open weights
Yes
Yes
Release
Nov 27, 2025
Sep 3, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
No primary API price listed
Modalities
text → text
text → text
Specs
Context window
131K
524K
Max output
-
-
Parameters
106B (12B act.)
375B (23B act.)
Pricing
Input $/1M
—
—
Output $/1M
—
—
Blended $/1M (3∶1)
-
-
Speed
tok/s
-
-
TTFT (s)
-
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
76.1
87.3
Humanity's Last Exam
13.1
32.0
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
19.6
18.2
AA-LCR v1.1
39.7
80.0
CritPt
0.3
4.6
MMMU-Pro
—
—
IFBench
34.0
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
71.9
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
42.9
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,356
—
| Metric | INTELLECT-3 | K2 Horizon 375B A23B | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Prime Intellect | MBZUAI Institute of Foundation Models | — |
| Family | Other | Other | — |
| License | MIT | Apache 2.0 | — |
| Open weights | Yes | Yes | — |
| Release | Nov 27, 2025 | Sep 3, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | No primary API price listed | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 131K | 524K | B +393K |
| Max output | - | - | — |
| Parameters | 106B (12B act.) | 375B (23B act.) | B +269 |
| Pricing | |||
| Input $/1M | — | — | — |
| Output $/1M | — | — | — |
| Blended $/1M (3∶1) | - | - | — |
| Speed | |||
| tok/s | - | - | — |
| TTFT (s) | - | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 76.1 | 87.3 | B +11.2 pts |
| Humanity's Last Exam | 13.1 | 32.0 | B +18.9 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 19.6 | 18.2 | A +1.4 pts |
| AA-LCR v1.1 | 39.7 | 80.0 | B +40.3 pts |
| CritPt | 0.3 | 4.6 | B +4.3 pts |
| MMMU-Pro | — | — | — |
| IFBench | 34.0 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 71.9 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | 42.9 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,356 | — | — |
INTELLECT-3
- Context
- 131K
- Parameters
- 106B (12B act.)
- Price
- —
- Speed
- —
- Modalities
- text → text
- License
- MIT
Prime Intellect's 106B/12B-active MoE reasoning model, post-trained from GLM-4.5-Air-Base via large-scale RL on Prime Intellect's own decentralized training infrastructure; no hosted API yet.
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.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.