Compare · ModelsLive · 2 picked · head to head
Claude Opus 4.8 (Fast) vs Claude Opus 4.7 (Fast)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Opus 4.8 (Fast) wins on 3/3 benchmarks
Claude Opus 4.8 (Fast) wins 3 of 3 shared benchmarks. Leads in speed.
Category leads
speed·Claude Opus 4.8 (Fast)
Hype vs Reality
Attention vs performance
Claude Opus 4.8 (Fast)
no bench·no signal
Claude Opus 4.7 (Fast)
no bench·no signal
Best value
Pricing unknown
Claude Opus 4.8 (Fast)
—
$30.00/M
Claude Opus 4.7 (Fast)
—
$90.00/M
Vendor risk
Who is behind the model
Anthropic
$380.0B·Tier 1
Anthropic
$380.0B·Tier 1
Head to head
3 benchmarks · 2 models
Claude Opus 4.8 (Fast)Claude Opus 4.7 (Fast)
Artificial Analysis · Agentic Index
Claude Opus 4.8 (Fast) leads by +2.8
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
Claude Opus 4.8 (Fast)
47.2
Claude Opus 4.7 (Fast)
44.4
Artificial Analysis · Coding Index
Claude Opus 4.8 (Fast) leads by +0.7
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
Claude Opus 4.8 (Fast)
74.3
Claude Opus 4.7 (Fast)
73.6
Artificial Analysis · Quality Index
Claude Opus 4.8 (Fast) leads by +2.2
Claude Opus 4.8 (Fast)
55.7
Claude Opus 4.7 (Fast)
53.5
Full benchmark table
| Benchmark | Claude Opus 4.8 (Fast) | Claude Opus 4.7 (Fast) |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 47.2 | 44.4 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 74.3 | 73.6 |
Artificial Analysis · Quality Index | 55.7 | 53.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $10.00 | $50.00 | 1.0M tokens (~500 books) | $200.00 | |
| $30.00 | $150.00 | 1.0M tokens (~500 books) | $600.00 |