Updated March 26, 2026· Based on independent benchmark data
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) leads in intelligence with a score of 53.0 vs 7.0. Granite 3.3 8B (Non-reasoning) is 166.7x cheaper at $0.03/1M tokens vs $5.00/1M. For speed, Granite 3.3 8B (Non-reasoning) wins at 402 tok/s vs 51 tok/s.
| Metric | Granite 3.3 8B (Non-reasoning) | Claude Opus 4.6 (Adaptive Reasoning, Max Effort) |
|---|---|---|
| Intelligence Score | 7.0 | 53.0 |
| Coding Score | 3.4 | 48.1 |
| Math Score | 6.7 | N/A |
| Speed (tok/s) | 402 tok/s | 51 tok/s |
| Latency (TTFT) | 9.53s | 12.63s |
| Input Price / 1M tokens | $0.03 | $5.00 |
| Output Price / 1M tokens | $0.25 | $25 |
| Context Window |
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) outperforms Granite 3.3 8B (Non-reasoning) on the intelligence index with a score of 53.0 compared to 7.0. For coding tasks, Claude Opus 4.6 (Adaptive Reasoning, Max Effort) has the edge with a coding score of 48.1 vs 3.4.
Granite 3.3 8B (Non-reasoning) generates output significantly faster at 402 tok/s compared to Claude Opus 4.6 (Adaptive Reasoning, Max Effort)'s 51 tok/s, making it 7.9x faster for streaming responses. Time to first token is 9.53s for Granite 3.3 8B (Non-reasoning) vs 12.63s for Claude Opus 4.6 (Adaptive Reasoning, Max Effort), which affects perceived responsiveness in interactive applications.
Granite 3.3 8B (Non-reasoning) is more affordable at $0.03/1M input tokens ($0.25/1M output), while Claude Opus 4.6 (Adaptive Reasoning, Max Effort) costs $5.00/1M input ($25/1M output). That makes Claude Opus 4.6 (Adaptive Reasoning, Max Effort) 166.7x more expensive per token, which can add up significantly at scale. For a typical workload of 100 requests per day at 2,000 tokens each, Granite 3.3 8B (Non-reasoning) would cost approximately $0.18/month vs $30.00/month for Claude Opus 4.6 (Adaptive Reasoning, Max Effort) in input costs alone.
Choose Granite 3.3 8B (Non-reasoning) when you need faster output (402 tok/s), lower cost. Choose Claude Opus 4.6 (Adaptive Reasoning, Max Effort) when you need higher intelligence (53.0), stronger coding performance (48.1).
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) scores higher on coding benchmarks (48.1 vs 3.4), making it the better choice for programming tasks.
Granite 3.3 8B (Non-reasoning) is cheaper at $0.03/1M input tokens vs $5.00/1M for Claude Opus 4.6 (Adaptive Reasoning, Max Effort).
Granite 3.3 8B (Non-reasoning) is faster, producing output at 402 tok/s compared to Claude Opus 4.6 (Adaptive Reasoning, Max Effort)'s 51 tok/s.
No, Granite 3.3 8B (Non-reasoning) does not support image input. Neither model supports image input.
Data last synced: March 26, 2026
| N/A |
| N/A |
| Max Output Tokens | N/A | N/A |
| Input Modalities | Text | Text |
| Output Modalities | Text | Text |
| Free Tier | No | No |
It depends on your priorities. Claude Opus 4.6 (Adaptive Reasoning, Max Effort) scores higher on intelligence (53.0), but Granite 3.3 8B (Non-reasoning) may be better for specific use cases like budget-conscious projects or speed-critical applications.