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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.

FindLLMJuly 28, 2026
Claude Opus 5GPT-5.6 TerraLLM pricing

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 -->

ModelQualityPriceSpeed
Claude Opus 560.7$10.00/M44 tok/s
Claude Fable 559.9$20.00/M58 tok/s
GPT-5.6 Sol58.9$11.25/M74 tok/s
GPT-5.6 Terra55.0$5.63/M128 tok/s

Quality comparison

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 -->

Price comparison

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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