High-end Claude for difficult coding, planning, and slower expert reasoning
Claude Opus 4.6 by anthropic is offered by 43 providers on this page. Public prices are shown for 41 of them. Its official list price is $5.00 per 1M input tokens and $25.00 per 1M output tokens. The lowest paid channel is Poe at $4.30 / $21.00 per 1M, about 1.4× below the list price. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it.
Artificial Analysis rates it 31.9 on the Intelligence Index. Against its lowest blended price of $8.47 per 1M, that is roughly 4 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 38 tokens per second, with 19.26s to the first token.
The context window is 1,000,000 tokens at the reference host, but hosts report different limits, from 200,000 to 1,000,000, so the usable window depends on the provider you pick. It supports reasoning, tool use, and structured output. Accepted input modalities are Text, Image, and PDF. Its training knowledge cuts off at 2025-05-31.
Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.
| Provider | Tier | Input | Output | Cache read | Cache write | Context | Output limit | Status |
|---|---|---|---|---|---|---|---|---|
| Poe anthropic/claude-opus-4.6 | Gateway | $4.30 | $21.00 | $0.43 | $5.30 | 983,040 ⚠ | 128,000 | |
| Perplexity Agent | Gateway | $5.00 | $25.00 | $0.50 | — | 200,000 ⚠ | 128,000 | |
| AnthropicOfficial | First-party | $5.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| NEAR AI Cloud | Gateway | $5.00 | $25.00 | $0.50 | $6.25 | 200,000 ⚠ | 128,000 | |
| Databricks databricks-claude-opus-4-6 | Cloud | $5.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| Kilo Gateway anthropic/claude-opus-4.6 | Gateway | $5.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| Abacus | Gateway | $5.00 | $25.00 | — | — | 1,000,000 | 128,000 | |
| OpenRouter anthropic/claude-opus-4.6 | Gateway | $5.00 tiered >200K: $10.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| Azure | Cloud | $5.00 tiered >200K: $10.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| FreeModel | Gateway | $5.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.
Interleaved thinking (reasoning between tool calls) is declared by 4 of 43 providers.
2 / 43 providers expose no reasoning control (reasoning_options: []).
| Mode | Provider | Input | Output | Cache read | Cache write |
|---|---|---|---|---|---|
| fast | Databricks | $30.00 | $150 | $3.00 | $37.50 |
| fast | OrcaRouter | $30.00 | $150 | $3.00 | $37.50 |
| fast | Merge Gateway | $30.00 | $150 | $3.00 | $37.50 |
| fast | AnyAPI | $30.00 | $150 | $3.00 | $37.50 |
| Name | Conditions | Score | Metric | Source |
|---|---|---|---|---|
| SWE-Bench Pro | dataset: public | 51.9 | resolve rate | Source ↗ |
| SWE-Atlas Codebase QnA | harness: Claude Code | 33.3 | score | Source ↗ |
| SWE-Atlas Codebase QnA | harness: Mini-SWE-Agent | 30 | score | Source ↗ |
| SWE-Atlas Refactoring | harness: Claude Code | 35.58 | score | Source ↗ |
| SWE-Atlas Test Writing | harness: Claude Code | 36.67 | score | Source ↗ |
| SWE-Atlas Test Writing | harness: Mini-SWE-Agent | 36.08 | score | Source ↗ |
| Artificial Analysis Coding Agent Index | harness: Claude Code · variant: medium | 51.3 | average pass@1 | Source ↗ |
| SWE-Atlas Codebase QnA | harness: Claude Code · variant: medium | 71.9 | pass@1 | Source ↗ |
| SWE-Bench Pro | harness: Claude Code · variant: medium · dataset: hard-aa | 11.8 | pass@1 | Source ↗ |
| Terminal-Bench | harness: Claude Code · variant: medium · v2.1 | 70.2 | pass@1 | Source ↗ |
The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.
Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.