Compare · ModelsLive · 2 picked · head to head
Claude Fable 5 vs gpt-oss-120b (free)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Fable 5 wins on 3/3 benchmarks
Claude Fable 5 wins 3 of 3 shared benchmarks. Leads in speed.
Category leads
speed·Claude Fable 5
Hype vs Reality
Attention vs performance
Claude Fable 5
#27 by perf·#12 by attention
gpt-oss-120b (free)
#25 by perf·no signal
Vendor risk
Who is behind the model
Anthropic
$965.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
3 benchmarks · 2 models
Claude Fable 5gpt-oss-120b (free)
Artificial Analysis · Agentic Index
Claude Fable 5 leads by +39.6
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 Fable 5
52.8
gpt-oss-120b (free)
13.2
Artificial Analysis · Coding Index
Claude Fable 5 leads by +46.0
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.
Claude Fable 5
76.5
gpt-oss-120b (free)
30.4
Artificial Analysis · Quality Index
Claude Fable 5 leads by +36.0
Claude Fable 5
59.9
gpt-oss-120b (free)
23.8
Full benchmark table
| Benchmark | Claude Fable 5 | gpt-oss-120b (free) |
|---|---|---|
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?" | 52.8 | 13.2 |
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. | 76.5 | 30.4 |
Artificial Analysis · Quality Index | 59.9 | 23.8 |
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 | |
| $0.00 | $0.00 | 131K tokens (~66 books) | — |