Compare · ModelsLive · 2 picked · head to head

Claude Opus 4.7 (Fast) vs Claude Opus 4.8 (Fast)

Side by side · benchmarks, pricing, and signals you can act on.

Winner summary

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
Claude Opus 4.7 (Fast)
no bench·#9 by attention
QUIET
Claude Opus 4.8 (Fast)
no bench·#9 by attention
QUIET
Best value
Claude Opus 4.7 (Fast)
n/a
$90.00/M
Claude Opus 4.8 (Fast)
n/a
$30.00/M
Vendor risk
Anthropic logo
Anthropic
$965.0B·Tier 1
Medium risk
Anthropic logo
Anthropic
$965.0B·Tier 1
Medium risk
Head to head
Claude Opus 4.7 (Fast)Claude Opus 4.8 (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 4.7 (Fast)
44.4
Claude Opus 4.8 (Fast)
47.2
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 4.7 (Fast)
73.6
Claude Opus 4.8 (Fast)
74.3
Artificial Analysis · Quality Index
Claude Opus 4.8 (Fast) leads by +2.2
Claude Opus 4.7 (Fast)
53.5
Claude Opus 4.8 (Fast)
55.7
Full benchmark table
BenchmarkClaude Opus 4.7 (Fast)Claude Opus 4.8 (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?"
44.447.2
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.
73.674.3
Artificial Analysis · Quality Index
53.555.7
Pricing · per 1M tokens · projected $/mo at 10M tokens
ModelInputOutputContextProjected $/mo
Anthropic logoClaude Opus 4.7 (Fast)$30.00$150.001.0M tokens (~500 books)$600.00
Anthropic logoClaude Opus 4.8 (Fast)$10.00$50.001.0M tokens (~500 books)$200.00