K2-V2 vs gpt-oss-20b: Release Comparison
Comparison of the K2-V2 and gpt-oss-20b releases: 3 and 2 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 5 models.
- For intelligence, K2-V2 and gpt-oss-20b tie at 10 (K2-V2 (high) and gpt-oss-20b (low)).
Releases compared
Intelligence
Artificial Analysis Intelligence Index
Intelligence Index vs. Cost per Intelligence Index Task
Cost per Task (USD, Log Scale)
Cost
Cost per Intelligence Index Task
Speed & Latency
Output Speed
Capability Scores
Capability Indexes
Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better
Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better
Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AA-LCR v1.1, GDP.pdf, AutomationBench-AA · Higher is better
Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, MLCR-AA, Humanity's Last Exam, AutomationBench-AA · Higher is better
Incorporates 6 evaluations: AA-Omniscience, Humanity's Last Exam, CritPt, GDPval-AA v2.1, AA-Briefcase v1.1, Terminal-Bench 4.0 · Higher is better
Incorporates 5 evaluations: AA-Omniscience, Humanity's Last Exam, GDPval-AA v2.1, AA-Briefcase v1.1, AA-LCR v1.1 · Higher is better
Further details
Input modality | Output modality | Weights | Provider Benchmarks | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| gpt-oss-20b (low) |  OpenAI | 10 | - | - | - | - | - | - | - | $0.1 | $0.07 | $0.215 | - | - | - | - | - | 224 | 0.92s | 9.85s | 12.08s | - | 21B 3.6B active at inference time | 131k | Aug 2025 | May 2025 | Yes | Supports: text | Supports: text |    +4 | |||
| K2-V2 (high) |  Institute of Foundation Models | 10 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 70B | 512k | Dec 2025 | - | Yes | Supports: text | Supports: text | - | |||
| K2-V2 (medium) | Institute of Foundation Models | 9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 70B | 512k | Dec 2025 | - | Yes | Supports: text | Supports: text | - | |||
| gpt-oss-20b (high) | OpenAI | 9 | 7 | 5 | 7 | 7 | 12 | 11 | $0.01 | $0.1 | $0.07 | $0.18 | - | $31 | 18k | 16k | 70M | 189 | 0.85s | 11.42s | 14.06s | 104.23s | 21B 3.6B active at inference time | 131k | Aug 2025 | May 2024 | Yes | Supports: text | Supports: text |   +5 | |||
| K2-V2 (low) | Institute of Foundation Models | 7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 70B | 512k | Dec 2025 | - | Yes | Supports: text | Supports: text | - | |||