Compare · ModelsLive · 3 picked · head to head
GPT-5.4 vs Claude Opus 4.6 (Fast) vs GLM 5.1
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.4 wins on 3/4 benchmarks
GPT-5.4 wins 3 of 4 shared benchmarks. Leads in speed.
Category leads
speed·GPT-5.4arena·Claude Opus 4.6 (Fast)
Hype vs Reality
Attention vs performance
GPT-5.4
#46 by perf·no signal
Claude Opus 4.6 (Fast)
#122 by perf·no signal
GLM 5.1
#16 by perf·no signal
Best value
GLM 5.1
4.6x better value than GPT-5.4
GPT-5.4
6.7 pts/$
$8.75/M
Claude Opus 4.6 (Fast)
0.5 pts/$
$90.00/M
GLM 5.1
30.9 pts/$
$2.27/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Anthropic
$380.0B·Tier 1
z-ai
private · undisclosed
Head to head
4 benchmarks · 3 models
GPT-5.4Claude Opus 4.6 (Fast)GLM 5.1
Artificial Analysis · Agentic Index
GPT-5.4 leads by +1.8
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?"
GPT-5.4
69.4
Claude Opus 4.6 (Fast)
67.6
GLM 5.1
67.0
Artificial Analysis · Coding Index
GPT-5.4 leads by +9.2
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 4.6 (Fast)
48.1
GLM 5.1
43.4
Artificial Analysis · Quality Index
GPT-5.4 leads by +4.2
GPT-5.4
57.2
Claude Opus 4.6 (Fast)
53.0
GLM 5.1
51.4
Chatbot Arena Elo · Overall
Claude Opus 4.6 (Fast) leads by +35.3
GPT-5.4
1465.8
Claude Opus 4.6 (Fast)
1502.8
GLM 5.1
1467.4
Full benchmark table
| Benchmark | GPT-5.4 | Claude Opus 4.6 (Fast) | GLM 5.1 |
|---|---|---|---|
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 | 67.6 | 67.0 |
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 | 48.1 | 43.4 |
Artificial Analysis · Quality Index | 57.2 | 53.0 | 51.4 |
Chatbot Arena Elo · Overall | 1465.8 | 1502.8 | 1467.4 |
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 | |
| $30.00 | $150.00 | 1.0M tokens (~500 books) | $600.00 | |
| $1.05 | $3.50 | 203K tokens (~101 books) | $16.63 |