GPT-5.6 Sol vs Llama Nemotron Super 49B v1.5: Release Comparison
Comparison of the GPT-5.6 Sol and Llama Nemotron Super 49B v1.5 releases: 6 and 2 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 8 models.
- For intelligence, GPT-5.6 Sol scores highest: GPT-5.6 Sol (max) at 47, against Llama Nemotron Super 49B v1.5 (Reasoning) at 9 for Llama Nemotron Super 49B v1.5.
- For output speed, Llama Nemotron Super 49B v1.5 is fastest: Llama Nemotron Super 49B v1.5 (Reasoning) at 104 t/s, against GPT-5.6 Sol (max) at 82 t/s for GPT-5.6 Sol.
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-5.6 Sol (max) |  OpenAI | 47 | 49 | 54 | 50 | 45 | 49 | 53 | $1.99 | $3.1 | $4.00 | $20.00 | $0.40 | $3,465 | 29k | 17k | 90M | 82 | 130.17s | 130.17s | 136.26s | 352.71s | - | 1M | Jul 2026 | - | Yes | Supports: text and image | Supports: text | Not available | - |   | |
| GPT-5.6 Sol (xhigh) | OpenAI | 44 | 47 | 52 | 49 | 43 | 45 | 51 | $1.18 | $3.1 | $4.00 | $20.00 | $0.40 | $2,082 | 20k | 10k | 51M | 72 | 35.55s | 35.55s | 42.47s | 267.37s | - | 1M | Jul 2026 | - | Yes | Supports: text and image | Supports: text | Not available | - | | |
| GPT-5.6 Sol (high) | OpenAI | 42 | 46 | 51 | 47 | 42 | 43 | 50 | $0.81 | $3.1 | $4.00 | $20.00 | $0.40 | $1,487 | 13k | 6k | 34M | 68 | 17.49s | 17.49s | 24.87s | 189.16s | - | 1M | Jul 2026 | - | Yes | Supports: text and image | Supports: text | Not available | - | | |
| GPT-5.6 Sol (medium) | OpenAI | 39 | 43 | 48 | 45 | 39 | 40 | 48 | $0.50 | $3.1 | $4.00 | $20.00 | $0.40 | $997 | 8k | 3k | 21M | 58 | 5.07s | 5.07s | 13.67s | 133.74s | - | 1M | Jul 2026 | - | Yes | Supports: text and image | Supports: text | Not available | - | | |
| GPT-5.6 Sol (low) | OpenAI | 33 | 38 | 42 | 42 | 36 | 34 | 44 | $0.26 | $3.1 | $4.00 | $20.00 | $0.40 | $637 | 4k | 837 | 13M | 58 | 3.85s | 3.85s | 12.45s | 66.94s | - | 1M | Jul 2026 | - | Yes | Supports: text and image | Supports: text | Not available | - | | |
| GPT-5.6 Sol (Non-reasoning) | OpenAI | 28 | 29 | 32 | 31 | - | - | 32 | - | $3.1 | $4.00 | $20.00 | $0.40 | - | - | - | - | 64 | 1.22s | 1.22s | 9.08s | - | - | 1M | Jul 2026 | - | No | Supports: text and image | Supports: text | Not available | - | | |
| Llama Nemotron Super 49B v1.5 (Reasoning) |  NVIDIA | 9 | - | - | - | - | - | - | - | $0.4 | $0.40 | $0.40 | - | - | - | - | - | 104 | 5.05s | 24.23s | 29.02s | - | 49B | 128k | Jul 2025 | - | Yes | Supports: text | Supports: text |  | |||
| Llama Nemotron Super 49B v1.5 (Non-reasoning) | NVIDIA | 7 | - | - | - | - | - | - | - | $0.4 | $0.40 | $0.40 | - | - | - | - | - | 84 | 4.97s | 4.97s | 10.92s | - | 49B | 128k | Jul 2025 | - | No | Supports: text | Supports: text | | |||