Claude Opus 5 leads quality while GPT-5.6 Terra wins on throughput economics
Claude Opus 5 leads the quality index, but GPT-5.6 Terra offers the strongest throughput and price combination for production workloads.
Claude leads quality; Terra leads the operating model
Claude Opus 5 (Anthropic) is the quality leader this week. GPT-5.6 Terra (OpenAI) is the stronger production choice when throughput and inference cost matter more than peak quality. GPT-5.6 Sol (OpenAI) remains a costly middle ground: faster than Opus, but behind it on quality.
Claude Opus 5 scores 60.7 on the quality index at $10.00 per 1M tokens. <!-- fact:claude-opus-5|quality=60.7|price=10.00 -->
| Model | Quality | Price | Speed |
|---|---|---|---|
| Claude Opus 5 | 60.7 | $10.00/M | 44 tok/s |
| Claude Fable 5 | 59.9 | $20.00/M | 58 tok/s |
| GPT-5.6 Sol | 58.9 | $11.25/M | 74 tok/s |
| GPT-5.6 Terra | 55.0 | $5.63/M | 128 tok/s |
What changed in the ranking?
Opus 5 has the best quality score in the current field, but its 44 tokens per second creates a real iteration penalty for interactive workloads. It fits high-value generation, difficult analysis, and tasks where another failed attempt costs more than additional inference latency.
Fable 5 is the week’s weakest proposition. It trails Opus 5 on quality while costing twice as much per 1M tokens. The higher 58 tokens per second does not compensate when the workload is cost-sensitive or when quality is the primary reason to choose Anthropic.
Terra is the operational outlier. Its 128 tokens per second is the highest listed rate, and its $5.63 per 1M tokens makes it easier to scale batch inference, ranking passes, and retry-heavy pipelines. The trade-off is material: its quality score is 5.7 points below Opus 5. <!-- fact:gpt-5-6-terra|quality=55.0|price=5.63|speed=128 -->
The practical split
Use Opus 5 when output quality dominates the total cost of failure. Use Terra when the system runs many calls and can tolerate a lower quality ceiling. Sol is the compromise for teams that want more tokens per second than Opus without dropping as far down the quality curve, but its $11.25 per 1M tokens makes that compromise expensive. <!-- fact:gpt-5-6-sol|quality=58.9|price=11.25|speed=74 -->
What to watch
- Whether Opus 5’s quality lead holds as more evaluations arrive.
- Whether Terra’s throughput advantage survives production workloads with long outputs and retries.
- Whether Fable 5 receives a price change; its current positioning is difficult to defend.
For a default production shortlist, start with GPT-5.6 Terra for scale and Claude Opus 5 for quality-critical paths, then validate the split in LLM Selector.
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