Compare · ModelsLive · 2 picked · head to head
GPT-5.4 vs Claude Opus 4.8 (Fast)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.4 wins on 2/3 benchmarks
GPT-5.4 wins 2 of 3 shared benchmarks. Leads in speed.
Category leads
speed·GPT-5.4
Hype vs Reality
Attention vs performance
GPT-5.4
#61 by perf·no signal
Claude Opus 4.8 (Fast)
no bench·no signal
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Anthropic
$380.0B·Tier 1
Head to head
3 benchmarks · 2 models
GPT-5.4Claude Opus 4.8 (Fast)
Artificial Analysis · Agentic Index
GPT-5.4 leads by +22.2
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?"
GPT-5.4
69.4
Claude Opus 4.8 (Fast)
47.2
Artificial Analysis · Coding Index
Claude Opus 4.8 (Fast) leads by +17.0
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.
GPT-5.4
57.3
Claude Opus 4.8 (Fast)
74.3
Artificial Analysis · Quality Index
GPT-5.4 leads by +1.5
GPT-5.4
57.2
Claude Opus 4.8 (Fast)
55.7
Full benchmark table
| Benchmark | GPT-5.4 | 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?" | 69.4 | 47.2 |
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. | 57.3 | 74.3 |
Artificial Analysis · Quality Index | 57.2 | 55.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.50 | $15.00 | 1.1M tokens (~525 books) | $56.25 | |
| $10.00 | $50.00 | 1.0M tokens (~500 books) | $200.00 |