# GPT-5.6 Terra vs Claude Sonnet 5

> Markdown mirror of https://router.one/models/compare/gpt-5-6-terra-vs-claude-sonnet-5 for AI assistants and crawlers. Router One is an OpenAI-compatible LLM API gateway.

The listed rates and 1M-input + 1M-output workload example use base tiers, assuming every request meets: openai/gpt-5.6-terra: request input ≤ 272,000 tokens. Requests above a threshold use the long-context rates below. GPT-5.6 Terra is the lower-priced of the two on Router One — about 68% less on a 1M-input + 1M-output mix. Both carry a 1.05M context window. GPT-5.6 Terra answers on /v1/chat/completions and /v1/responses (Codex CLI); Claude Sonnet 5 on /v1/chat/completions and /v1/messages (Claude Code).

GPT-5.6 Terra and Claude Sonnet 5 compared on current per-token rates, context window, and capabilities — both callable through one OpenAI-compatible endpoint with per-request cost traces.

## GPT-5.6 Terra vs Claude Sonnet 5: rates, context window, and capabilities

| Spec | GPT-5.6 Terra | Claude Sonnet 5 |
| --- | --- | --- |
| Input / 1M tokens | $0.25 | $0.90 |
| Output / 1M tokens | $1.50 | $4.50 |
| Cached input / 1M tokens | $0.125 | $0.15 |
| Context window | 1.05M | 1.05M |
| Capabilities | Chat, Streaming, Tool calling, Vision | Chat, Streaming, Tool calling, Vision |
| Detail page | [GPT-5.6 Terra](https://router.one/models/gpt-5-6-terra) | [Claude Sonnet 5](https://router.one/models/claude-sonnet-5) |

openai/gpt-5.6-terra: request input ≤ 272,000 tokens: Input $0.25 / 1M tokens, Output $1.50 / 1M tokens, Cache write $0.25 / 1M tokens, Cached input $0.125 / 1M tokens; request input > 272,000 tokens: Input $0.50 / 1M tokens, Output $2.25 / 1M tokens, Cache write $0.50 / 1M tokens, Cached input $0.25 / 1M tokens. The total input tokens in each request select the tier; its rates apply to the whole request, not only tokens above the threshold.

## What does 1M tokens cost on GPT-5.6 Terra vs Claude Sonnet 5?

The listed rates and 1M-input + 1M-output workload example use base tiers, assuming every request meets: openai/gpt-5.6-terra: request input ≤ 272,000 tokens. Requests above a threshold use the long-context rates below. For a workload of 1M input plus 1M output tokens at current rates: GPT-5.6 Terra comes to $1.75, Claude Sonnet 5 comes to $5.40 — GPT-5.6 Terra is about 68% cheaper on this mix. Real workloads skew heavily toward input tokens, so weigh the input rate by your own ratio; the cached-input row above is the posted catalog rate for that model.

## Switch between GPT-5.6 Terra and Claude Sonnet 5 without changing code

Both models are behind the same OpenAI-compatible endpoint, so an A/B test is a one-string change — same key, same code, and every request traced with tokens, cost, and latency in the dashboard:

`compare.sh`

```bash
curl https://api.router.one/v1/chat/completions \
  -H "Authorization: Bearer sk-your-router-one-key" \
  -H "Content-Type: application/json" \
  -d '{"model": "openai/gpt-5.6-terra", "messages": [{"role": "user", "content": "Hello"}]}'

# Same request, other model — change one string:
#   "model": "anthropic/claude-sonnet-5"
```

## FAQ

### Is GPT-5.6 Terra cheaper than Claude Sonnet 5?

The listed rates and 1M-input + 1M-output workload example use base tiers, assuming every request meets: openai/gpt-5.6-terra: request input ≤ 272,000 tokens. Requests above a threshold use the long-context rates below. Input: GPT-5.6 Terra $0.25 vs Claude Sonnet 5 $0.90 / 1M tokens; GPT-5.6 Terra has the lower rate. Output: GPT-5.6 Terra $1.50 vs Claude Sonnet 5 $4.50 / 1M tokens; GPT-5.6 Terra has the lower rate. Total cost depends on the workload's input, output and cache usage. openai/gpt-5.6-terra: request input ≤ 272,000 tokens: Input $0.25 / 1M tokens, Output $1.50 / 1M tokens, Cache write $0.25 / 1M tokens, Cached input $0.125 / 1M tokens; request input > 272,000 tokens: Input $0.50 / 1M tokens, Output $2.25 / 1M tokens, Cache write $0.50 / 1M tokens, Cached input $0.25 / 1M tokens. The total input tokens in each request select the tier; its rates apply to the whole request, not only tokens above the threshold. Rates change; the /models page is the live source of truth.

### Can I switch between GPT-5.6 Terra and Claude Sonnet 5 without changing code?

Yes. Both are served through the same OpenAI-compatible endpoint, so switching is changing the model string in the request — the key, base URL, and request shape stay identical.

### Where do these numbers come from?

Specs and prices on this page render from the live Router One catalog — the same data as the /models page — and refresh with it. Pricing methodology is documented on /pricing-methodology. Rates on this page were read from the live catalog on 2026-09-20 (UTC) and refresh within the hour.

## More comparisons

- [GPT-5.5 vs Claude Sonnet 5](https://router.one/models/compare/gpt-5-5-vs-claude-sonnet-5)
- [Claude Opus 4.8 vs Claude Sonnet 5](https://router.one/models/compare/claude-opus-4-8-vs-claude-sonnet-5)
- [Claude Sonnet 5 vs Claude Sonnet 4.6](https://router.one/models/compare/claude-sonnet-5-vs-claude-sonnet-4-6)
- [GPT-5.6 Sol vs GPT-5.6 Terra](https://router.one/models/compare/gpt-5-6-sol-vs-gpt-5-6-terra)

## See also

- Canonical page: https://router.one/models/compare/gpt-5-6-terra-vs-claude-sonnet-5
- All model comparisons: https://router.one/models/compare
- All models & prices: https://router.one/models (markdown: https://router.one/models.md)
- Pricing: https://router.one/pricing
- GPT API access: https://router.one/cheap-gpt-api
- Claude API access: https://router.one/cheap-claude-api
- Cost calculator: https://router.one/llm-cost-calculator
- Pricing methodology: https://router.one/pricing-methodology