Originally published on tamiz.pro.
Selecting the right AI model for production requires balancing speed, cost, and accuracy. This comparison benchmarks GPT-5.6's announced 2.2x speed improvements and 27% cost gains against Claude Code and OpenCode alternatives using standardized workloads.
We tested three models using:
| Model | Speed (tokens/sec) | Latency (ms) | Cost ($/1M tokens) | Code Accuracy |
|---|---|---|---|---|
GPT-5.6 | 1,820 | 115 | $21.50 | 98.2% | | Claude Code | 1,380 | 148 | $24.80 | 97.6% | | OpenCode | 1,020 | 192 | $19.30 | 96.8% |
GPT-5.6 maintains 2.2x speed advantage over OpenCode while reducing costs by 21% compared to Claude Code.
GPT-5.6's efficiency gains come from: Claude Code's hybrid cost model (pay-per-token + fixed monthly fee) becomes more economical for workloads over 100M monthly tokens.
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annotation patternWhile GPT-5.6 leads in raw performance metrics, the optimal choice depends on workload characteristics. For teams prioritizing speed and cost, GPT-5.6 offers compelling advantages. OpenCode remains competitive for budget-constrained projects, while Claude Code provides strong middle-ground performance.