Claude Opus 4.8
Not tested yet
Head-to-head comparison
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
Specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Claude Opus 4.8 | Claude Opus 4.7 |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Released | May 2026 | Apr 2026 |
| Availability | Legacy | Active |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Knowledge cutoff | January 2026 | January 2026 |
| Technical sources | Model, Knowledge cutoff | Model, Knowledge cutoff |
Pricing
The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Price type | Claude Opus 4.8 | Claude Opus 4.7 |
|---|---|---|
| API input | $5 | $5 |
| API output | $25 | $25 |
| Cache read | $0.5 | $0.5 |
| Cache write (5 min.) | $6.25 | $6.25 |
| Cache write (1 hr.) | $10 | $10 |
| Price verified | 07/30/2026 Source | 07/30/2026 Source |
Key to the marks:better valuebetter, but not conclusivetie
Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.
No provider tariff for Claude Opus 4.8 is available in the stored OpenRouter snapshot. The official direct price is still shown.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| Claude Opus 4.8 | Anthropic | Direct from developerStandard API | Lowest listed price: $5 | Lowest listed price: $25 | Source07/30/2026 |
| Claude Opus 4.7 | Anthropic | Direct from developerStandard API | Lowest listed price: $5 | Lowest listed price: $25 | Source07/30/2026 |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/eu-west-1 | $5.5 | $27.5 | Source09/12/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/global | Lowest listed price: $5 | Lowest listed price: $25 | Source09/12/2026 | |
| Anthropic | Via OpenRouteranthropic | Lowest listed price: $5 | Lowest listed price: $25 | Source09/12/2026 | |
| Azure | Via OpenRouterazure/global | Lowest listed price: $5 | Lowest listed price: $25 | Source09/12/2026 | |
| Claude Platform on AWS | Via OpenRouterclaude-on-aws | Lowest listed price: $5 | Lowest listed price: $25 | Source09/12/2026 | |
| Via OpenRoutergoogle-vertex/europe | $5.5 | $27.5 | Source09/12/2026 | ||
| Via OpenRoutergoogle-vertex/global | Lowest listed price: $5 | Lowest listed price: $25 | Source09/12/2026 | ||
| Via OpenRoutergoogle-vertex/us | $5.5 | $27.5 | Source09/12/2026 |
Performance
Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
Not enough directly matched categories for a reliable radar
Only 3 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Claude Opus 4.8 | Claude Opus 4.7 | Source |
|---|---|---|---|
GPQA DiamondOverallTest detailsNo documented difference in the test setupVersion: DiamondMetric: accuracyScoring: Higher is betterVendor-reported GPQA Diamond result. | 93.6 % Editorial selection from the vendor table, not a complete extract of the comparison cohort. | Winner94.2 % Editorial selection from the vendor table, not a complete extract of the comparison cohort. | AnthropicSource detailsData as of: 05/28/2026 |
OSWorld VerifiedOverallTest detailsNo documented difference in the test setupVersion: VerifiedMetric: successScoring: Higher is betterVendor-reported OSWorld Verified result for the agent system. | Winner83.4 % Editorial selection from the vendor table, not a complete extract of the comparison cohort. | 82.3 % Anthropic's release-page footnote reports 82.3% after an updated run. The associated system-card table still contains 82.8%. | AnthropicSource detailsData as of: 05/28/2026 |
SWE-Marathon v1.0Binary resolution, pass@1Test detailsNo documented difference in the test setupVersion: v1.0 leaderboardMetric: binary resolution pass@1Scoring: Higher is betterSettings: Agent: Claude Code20 multi-hour tasks. The named coding agent is part of every result row. | Winner26 % | 16 % | SWE-MarathonSource detailsData as of: 06/05/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.
A community classic for free-form SVG drawing.
Claude Opus 4.8
Not tested yet
Claude Opus 4.7
Not tested yet
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)How to read this comparison
Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.
Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.
More matchups
Compare Claude Opus 4.8 and Claude Opus 4.7 with other leading models using the same data and benchmark logic.