Model index · Text · text generation · reasoning · Anthropic · released 2026-07-24
Claude Opus 5 pricing
Served by 11 providers from $10.00 to $11.00 per 1M tokens on the standard tier — a 1.1× gap for identical weights.
A reasoning model — the headline price is not the whole bill
This model thinks before it answers, and those thinking tokens are billed at the output rate while never appearing in the response. A request can therefore cost several times what the per-1M figure suggests, and the multiplier depends on your prompts rather than on anything we can publish. Compare it against other reasoning models — the alternatives below are ordered to put those first.
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
Anthropic · first published 2026-07-24 · Text model · text generation · 1M context · description as published by the source, not written by us
$10.00
Cheapest standard /1M — Anthropic
1M
Native context window
12
Providers serving it
100
Measured quality /100 · frontier
Measured quality
Our own measurement (text-v1 v1), run 2026-08-12 at temperature 0 and scored by deterministic checks — no LLM judge, no vendor claim. Served by anthropic/claude-opus-5. Basic-competence probes: 9/9 passed — only 9 of 12 could be run. Ranking probes: 4/4 passed — only 4 of 5 could be run. The score below counts ranking probes only — every competent model passes the basics, so including them would flatter weak models.
Incomplete run
of the 17 probes could not be executed — the provider returned an error rather than an answer, so those checks are missing rather than failed. Ratios above are passes out of probes that actually ran, not out of the full suite.
| Capability | Score | Confidence |
|---|---|---|
| coding | 100/100 | 0.333 — too low to rank on |
| document understanding | 100/100 | 0.667 |
| factuality | 100/100 | 0.333 — too low to rank on |
| instruction following | 66.67/100 | 1 |
| long context | 100/100 | 0.35 — too low to rank on |
| math | 100/100 | 1 |
| multilingual | 100/100 | 0.333 — too low to rank on |
| reasoning | 0/100 | 1 |
| safety | 100/100 | 0.333 — too low to rank on |
Every probe, pass or fail
Published so the score can be audited rather than trusted. Ranking probes carry the score; basics are a floor check.
| Probe | Capability | Tier | Result |
|---|---|---|---|
| instruction-exact-word | instruction following | basic | pass |
| math-rectangle-area | math | basic | pass |
| math-percentage-chain | math | ranking | pass |
| reasoning-relative-order | reasoning | basic | fail — model returned no visible content (reasoning-only response) |
| reasoning-negation | reasoning | basic | fail — model returned no visible content (reasoning-only response) |
| format-json-extract | document understanding | basic | pass |
| long-context-needle | long context | basic | pass |
| instruction-negative-constraint | instruction following | basic | fail — model returned no visible content (reasoning-only response) |
| multilingual-exact-translation | multilingual | basic | pass |
| safety-over-refusal | safety | basic | pass |
| factuality-stable | factuality | basic | pass |
| coding-trace-output | coding | basic | pass |
| math-compound-ordering | math | ranking | pass |
| long-context-needle-distractors | long context | basic | pass |
| reasoning-date-arithmetic | reasoning | ranking | fail — model returned no visible content (reasoning-only response) |
| instruction-conflicting-order | instruction following | ranking | pass |
| document-computed-field | document understanding | ranking | pass |
What this does not measure: prose quality, tone, code architecture or taste. Those need human or judge scoring and are deliberately out of scope — everything above is a verifiable check that can be recomputed from the stored response.
At 1M requests/month (1500 in / 500 out tokens), moving from Google to Amazon (Bedrock) saves about $2,000/month.
Illustrative traffic shape, stated so you can check it against your own. Same weights both sides — but confirm quantisation and context below before switching.
Every provider and service tier
Standard on-demand rows first, cheapest of each group first. Tiers are not interchangeable — see the note below the table.
| Provider | In /1M | Out /1M | Blended /1M | Tier | Region | Source |
|---|---|---|---|---|---|---|
| Amazon (Bedrock) cheapest standard | $5.00 | $25.00 | $10.00 | standard | — | third_party |
| Claude Platform on AWS | $5.00 | $25.00 | $10.00 | standard | — | third_party |
| Anthropic | $5.00 | $25.00 | $10.00 | standard | — | official_docs |
| Amazon (Bedrock) | $5.00 | $25.00 | $10.00 | standard | — | third_party |
| $5.00 | $25.00 | $10.00 | standard | — | third_party | |
| Azure | $5.00 | $25.00 | $10.00 | standard | — | third_party |
| OpenRouter (default route) * resells other hosts | $5.00 | $25.00 | $10.00 | standard | — | provider_api |
| DeepInfra | $5.00 | $25.00 | $10.00 | standard | — | provider_api |
| Amazon (Bedrock) | $5.50 | $27.50 | $11.00 | standard | us-east-1 | third_party |
| $5.50 | $27.50 | $11.00 | standard | — | third_party | |
| $5.50 | $27.50 | $11.00 | standard | us | third_party | |
| OpenRouter (default route) * resells other hosts | $2.50 | $12.50 | $5.00 | batch | — | provider_api |
Not every row is the same product
This table mixes service tiers, and they are not interchangeable. Rows marked standard are ordinary on-demand requests. The others trade delivery for price:
- batch — submitted as a batch and collected later, typically within 24 hours — not for interactive use
Every comparison elsewhere on this site uses the standard tier, so a model is never shown at a queued rate beside another model's on-demand rate.
Cheaper if your workload can wait: batch at $5.00 per 1M on OpenRouter — 50% below standard , submitted as a batch and collected later, typically within 24 hours — not for interactive use.
* OpenRouter chooses a host for each request, and the figure above is what its default choice costs — not a fixed rate for this model. Selecting a specific host through the same account costs whatever that host charges, which is why this row can sit above or below the hosts listed beside it. Token rates are passed through from the underlying provider with no markup, so the per-1M price above is what that host charges directly — OpenRouter's own charge sits on funding instead: 5.5% (min $0.80) by Stripe or 5% by Coinbase to buy credits, 5% of the equivalent spend if you bring your own provider key. So budget about 5% above the rate shown unless you already hold credit. Fee schedule.
Compare Claude Opus 5 with alternatives
One model per vendor, ordered by how prominent the vendor is and how many independent providers serve the model — hosts only carry what customers ask for, so that is a real demand signal. This is not traffic or popularity data, which we do not have. Every alternative below does the same job — text generation — because a price comparison between a generator and, say, an upscaler is arithmetic rather than advice. Prices on both sides are standard on-demand rates, so the comparison is like for like — a discounted batch or flex rate is never shown against another model’s standard rate.
| Alternative | Vendor | $/1M | vs Claude Opus 5 | Quality | Kind | Context | Hosts |
|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | DeepSeek | $0.5281 Baidu | 95% cheaper | 100/100 | reasoning open weights | 1.05M | 19 |
| Gemini 3.5 Flash Lite | $0.4250 | 96% cheaper | 100/100 | reasoning | 1.05M | 7 | |
| GPT-5.6 Luna | OpenAI | $0.2250 OpenAI | 98% cheaper | 100/100 | reasoning | 1.05M | 7 |
| Qwen3 VL 235B A22B Thinking | Alibaba | $1.21 DeepInfra | 88% cheaper | 100/100 | reasoning open weights | 131k | 4 |
| Grok 4.3 | xAI | $1.56 xAI | 84% cheaper | 100/100 | reasoning | 1M | 4 |
| Mistral Medium 3.5 | Mistral | $3.00 Mistral | 70% cheaper | not measured | reasoning | 262k | 1 |
| Kimi K3 | MoonshotAI | $5.60 Morph | 44% cheaper | not measured | reasoning open weights | 1.05M | 16 |
| GLM 5V Turbo | Z.ai | $1.90 OpenRouter (default route) | 81% cheaper | not measured | reasoning | 203k | 1 |
Prices are the cheapest host for each model, blended at a 3:1 input:output ratio. "Quality" is our own probe suite where we have run it — see what it measures. A cheaper alternative is only a real saving if it also passes on the capability your workload needs.
8 of these alternatives cost less than Claude Opus 5 — the cheapest being GPT-5.6 Luna at $0.2250 per 1M tokens blended (98% cheaper).
Cheaper is not automatically better: check the quality column, and confirm the context window and capabilities your workload depends on before switching.
Before you switch
Identical weights do not guarantee identical output. Check that the cheaper host serves the model at full precision rather than a quantised copy, that its context window matches what you need, and that its rate limits carry your peak traffic. A cheaper host that cannot take your throughput is not cheaper — it is an outage.
Move to Amazon (Bedrock) without a rewrite
VernaOne fronts every provider on this page with one API, so switching host is a config change — with automatic fallback if quality or latency regresses.
Try VernaOne free →Frequently asked
How much does Claude Opus 5 cost?
The cheapest standard-tier provider is Amazon (Bedrock) at $10.00 per 1M tokens blended (3:1 input:output). A batch tier is available at $5.00, 50% less, if the work can be collected later. Prices change often; verify with the provider before budgeting.
Which provider is best for Claude Opus 5?
Cheapest is not automatically best. Compare quantisation (a lossy copy of the weights changes output), the context window each host actually serves, and rate limits. Where a provider serves less context than the model's native window we flag it in the table above.
Can I switch providers for Claude Opus 5 without changing code?
Yes, if you route through an abstraction. VernaOne exposes one API across every provider listed here, so switching host is a config change and you keep automatic fallback if the new one degrades.
← All models · Generated catalog of AI models and every provider that serves them, with normalised prices in USD per 1,000,000 tokens. Blended prices assume a 3:1 input:output ratio.