# Benchmarking GPT-5.6 vs. Claude Code and OpenCode: 2.2x Speed and 27% Cost Efficiency Analysis

> Source: <https://dev.to/tamizuddin/benchmarking-gpt-56-vs-claude-code-and-opencode-22x-speed-and-27-cost-efficiency-analysis-186l>
> Published: 2026-07-13 00:00:36+00:00

*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.

`@schema`

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.