Strongest Claude Opus model for coding, agents, and professional work
Claude Opus 5 by anthropic is offered by 37 providers on this page. Public prices are shown for 34 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 NanoGPT at $5.00 / $25.00 per 1M, about 2.0× below the list price. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it. It also has 1 free ($0) channel; free tiers usually carry rate limits, and subscription-covered access bills $0 per token only after the subscription fee.
Artificial Analysis rates it 50.8 on the Intelligence Index, with 78 for coding and 56.5 for agentic tasks. Against its lowest blended price of $10.00 per 1M, that is roughly 5 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 57 tokens per second, with 59.16s to the first token. Running one task of the Artificial Analysis suite costs about $5.8584, which reflects how many tokens its reasoning consumes rather than the unit price alone.
The context window is 1,000,000 tokens, with an output limit of 128,000 tokens. It supports reasoning, tool use, and structured output. Accepted input modalities are Text, Image, and PDF. Its training knowledge cuts off at 2026-05.
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 |
|---|---|---|---|---|---|---|---|---|
| Kenari | Gateway | Free | — | — | 1,000,000 | 128,000 | ||
| NanoGPT | Gateway | $5.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| AnthropicOfficial | First-party | $5.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| Kilo Gateway | 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 | |
| 302.AI | Gateway | $5.00 | $25.00 | — | — | 1,000,000 | 128,000 | |
| OpenRouter | Gateway | $5.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| Azure | Cloud | $5.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| Azure Cognitive Services | Cloud | $5.00 | $25.00 | $0.50 | $6.25 | 1,000,000 | 128,000 | |
| Cloudflare AI Gateway | Cloud | $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 37 providers.
3 / 37 providers expose no reasoning control (reasoning_options: []).
| Mode | Provider | Input | Output | Cache read | Cache write |
|---|---|---|---|---|---|
| fast | Anthropic | $10.00 | $50.00 | $1.00 | $12.50 |
1 more channels offer $0 (Kenari); free tiers usually have rate limits and no SLA, excluded from ranking.
| Name | Conditions | Score | Metric | Source |
|---|---|---|---|---|
| SWE-Bench Verified | — | 96 | resolved | Source ↗ |
| SWE-Bench Pro | — | 79.2 | resolve rate | Source ↗ |
| SWE-Bench Multilingual | — | 89.5 | resolve rate | Source ↗ |
| SWE-Bench Multimodal | — | 59.4 | resolve rate | Source ↗ |
| DeepSWE | v1.1 | 68.8 | resolve rate | Source ↗ |
| FrontierCode | variant: medium effort · dataset: Main · v1.1 | 53.4 | mean@5 | Source ↗ |
| Frontier-Bench | harness: mini-SWE-agent · variant: max effort · vv0.1 | 43.3 | mean reward | Source ↗ |
| BrowseComp | variant: single agent | 90.8 | accuracy | Source ↗ |
| Humanity's Last Exam | variant: no tools | 56.3 | accuracy | Source ↗ |
| Humanity's Last Exam | variant: with tools | 64.7 | accuracy | Source ↗ |
| DeepSearchQA | variant: max effort | 95 | F1 | Source ↗ |
| OSWorld | v2.0 | 70.6 | success rate | Source ↗ |
| GDPval-AA | variant: max effort · vv2 | 1861 | Elo | Source ↗ |
| AA-Briefcase | variant: max effort | 1720 | Elo | Source ↗ |
| AutomationBench | variant: max effort | 26 | success rate | Source ↗ |
| ARC-AGI-1 | variant: max effort | 97.5 | accuracy | Source ↗ |
| ARC-AGI-2 | variant: max effort | 90.4 | accuracy | Source ↗ |
| ARC-AGI-3 | variant: high effort | 30.2 | RHAE | Source ↗ |
| HealthBench Professional | variant: max effort | 59.8 | score | 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.