Claude Opus 5.5 vs GPT-5.6 Terra: pricing and benchmarks
GPT-5.6 Terra is 50% cheaper on input tokens ($2.00 vs $4.00 per 1M). GPT-5.6 Terra is 40% cheaper on output tokens ($12.00 vs $20.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-5.6 Terra costs $1,160 a month versus $2,200 for Claude Opus 5.5, 47% less. Claude Opus 5.5 scores 166.8 on the Epoch Capabilities Index vs 159.4 for GPT-5.6 Terra.
Which should you choose?
Claude Opus 5.5 scores 166.8 on the Epoch Capabilities Index vs 159.4 for GPT-5.6 Terra.
Claude Opus 5.5 scores 91.2% on FrontierMath (Tiers 1–3) vs 86.0% for GPT-5.6 Terra.
GPT-5.6 Terra costs $4.50 per 1M tokens (3:1 input-to-output mix) vs $8.00 for Claude Opus 5.5, 44% less.
A trade-off: Claude Opus 5.5 is 7.4 ECI points more capable but costs 1.8x as much as GPT-5.6 Terra.
Pricing and specs
| Claude Opus 5.5 | GPT-5.6 Terra | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| API model ID | claude-opus-5-5 | gpt-5.6-terra |
| Input / 1M tokens | $4.00 | $2.00 |
| Cached input / 1M tokens | $0.20 | $0.20 |
| Output / 1M tokens | $20.00 | $12.00 |
| Long-context rates | — | $4.00 in / $18.00 out on long-context requests |
| Context window | 1M tokens | 1.05M tokens |
| Max output | 128K tokens | 128K tokens |
| Batch discount | 50% off | 50% off |
Benchmarks
| Claude Opus 5.5 | GPT-5.6 Terra | |
|---|---|---|
| Epoch Capabilities Index | 166.8 | 159.4 |
| GPQA Diamond· Science reasoning | 90.6% | 93.3% |
| FrontierMath (Tiers 1–3)· Advanced math | 91.2% | 86.0% |
| SimpleQA Verified· Factual accuracy | 72.2% | 43.2% |
| ARC-AGI-2· Abstract reasoning | 93.3% | 83.9% |
| DeepSWE· Coding | — | 69.6% |
| APEX-Agents· Agentic work | 73.5% | 58.2% |
Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks
Monthly cost for real workloads
| Workload | Claude Opus 5.5 | GPT-5.6 Terra | Difference |
|---|---|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $1,400 | $780.00 | GPT-5.6 Terra 44% cheaper |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $2,200 | $1,160 | GPT-5.6 Terra 47% cheaper |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $936.00 | $536.00 | GPT-5.6 Terra 43% cheaper |
Cached chatbot The same 100,000-reply support chatbot, but 60% of each prompt (system prompt + conversation history) is served from the prompt cache. | $1,058 | $618.00 | GPT-5.6 Terra 42% cheaper |
Meeting notes 10,000 meetings a month summarized from ~12,000-token transcripts, ~1,000 output tokens each. | $680.00 | $360.00 | GPT-5.6 Terra 47% cheaper |
Bulk translation 200,000 short translations a month, ~800 input and ~800 output tokens each. | $3,840 | $2,240 | GPT-5.6 Terra 42% cheaper |
Content moderation 1,000,000 classifications a month, ~400 input tokens and ~80 output tokens each. | $3,200 | $1,760 | GPT-5.6 Terra 45% cheaper |
Article drafting 300 long-form articles a month written from a ~4,000-token brief and outline, ~5,000 output tokens each. | $34.80 | $20.40 | GPT-5.6 Terra 41% cheaper |
Code review bot 30,000 pull-request reviews a month, ~5,000 input tokens each (30% cached repository context) and ~700 output tokens. | $849.00 | $471.00 | GPT-5.6 Terra 45% cheaper |
Invoice extraction 100,000 documents a month parsed into structured JSON, ~1,200 input and ~250 output tokens each. | $980.00 | $540.00 | GPT-5.6 Terra 45% cheaper |
Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.
Claude Opus 5.5 vs GPT-5.6 Terra cost calculator
- $1,160/mo$0.02 / req
- Claude Opus 5.5Anthropic$2,200/mo$0.04 / req
Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.
Claude Opus 5.5 pricing notes
Anthropic’s recommended default model for most workloads, with adaptive thinking always on.
- Cache reads cost 5% of the input price, against 10% on Claude Opus 5 and Sonnet 5.
- Cache writes cost $5 (5-minute cache) or $8 (1-hour cache) per 1M tokens.
- Fast mode costs $8 input / $40 output per 1M tokens.
- US-only inference (inference_geo: "us") costs 1.1x.
GPT-5.6 Terra pricing notes
The GPT-5.6 model that balances intelligence and cost.
- Cache writes are billed at $2.50 per 1M tokens.
- Fast mode costs 2x the standard rate; Flex costs half.
Frequently asked questions
- Is Claude Opus 5.5 cheaper than GPT-5.6 Terra?
- GPT-5.6 Terra is 50% cheaper on input tokens ($2.00 vs $4.00 per 1M). GPT-5.6 Terra is 40% cheaper on output tokens ($12.00 vs $20.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-5.6 Terra costs $1,160 a month versus $2,200 for Claude Opus 5.5, 47% less.
- Which is more capable, Claude Opus 5.5 or GPT-5.6 Terra?
- Claude Opus 5.5 scores 166.8 on the Epoch Capabilities Index vs 159.4 for GPT-5.6 Terra.
- How much does Claude Opus 5.5 cost per 1M tokens?
- Claude Opus 5.5 costs $4.00 per 1M input tokens and $20.00 per 1M output tokens, and $0.20 per 1M cached input tokens on Anthropic’s standard tier.
- How much does GPT-5.6 Terra cost per 1M tokens?
- GPT-5.6 Terra costs $2.00 per 1M input tokens and $12.00 per 1M output tokens, and $0.20 per 1M cached input tokens on OpenAI’s standard tier.
- Which has the larger context window, Claude Opus 5.5 or GPT-5.6 Terra?
- GPT-5.6 Terra has the larger context window: 1.05M tokens versus 1M for Claude Opus 5.5.