Compare · ModelsLive · 2 picked · head to head
Claude Opus 4.7 (Fast) vs Claude Opus 4.6 (Fast)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Opus 4.7 (Fast) wins on 2/3 benchmarks
Claude Opus 4.7 (Fast) wins 2 of 3 shared benchmarks. Leads in speed.
Category leads
speed·Claude Opus 4.7 (Fast)
Hype vs Reality
Attention vs performance
Claude Opus 4.7 (Fast)
no bench·no signal
Claude Opus 4.6 (Fast)
#150 by perf·no signal
Best value
Claude Opus 4.6 (Fast)
Claude Opus 4.7 (Fast)
—
$90.00/M
Claude Opus 4.6 (Fast)
0.5 pts/$
$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 4.7 (Fast)Claude Opus 4.6 (Fast)
Artificial Analysis · Agentic Index
Claude Opus 4.6 (Fast) leads by +23.2
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 4.6 (Fast)
67.6
Artificial Analysis · Coding Index
Claude Opus 4.7 (Fast) leads by +25.5
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 4.6 (Fast)
48.1
Artificial Analysis · Quality Index
Claude Opus 4.7 (Fast) leads by +0.6
Claude Opus 4.7 (Fast)
53.5
Claude Opus 4.6 (Fast)
53.0
Full benchmark table
| Benchmark | Claude Opus 4.7 (Fast) | Claude Opus 4.6 (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?" | 44.4 | 67.6 |
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. | 73.6 | 48.1 |
Artificial Analysis · Quality Index | 53.5 | 53.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $30.00 | $150.00 | 1.0M tokens (~500 books) | $600.00 | |
| $30.00 | $150.00 | 1.0M tokens (~500 books) | $600.00 |