Model comparison
Claude Fable 5 vs GPT-OSS 120B
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Fable 5 #2 (Supported); GPT-OSS 120B #116 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Fable 5 and GPT-OSS 120B share 17 comparable benchmark results. 0 of 8 categories are comparable. 17 results are unique to Claude Fable 5; 9 to GPT-OSS 120B.
Updated July 23, 2026- Shared results
- 17
- Claude Fable 5 only
- 17
- GPT-OSS 120B only
- 9
- Comparable categories
- 0 / 8
Benchmark data for Claude Fable 5 and GPT-OSS 120B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude Fable 5 is priced at $10.00 input / $50.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GPT-OSS 120B. Claude Fable 5 has the larger context window at 1M+, compared with 128K for GPT-OSS 120B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Fable 5 | Δ | GPT-OSS 120B |
|---|---|---|---|
| Agentic | Claude Fable 584.6 | MarginNo overlap | GPT-OSS 120BNot measured |
| Coding | Claude Fable 589.2 | MarginNo overlap | GPT-OSS 120BNot measured |
| Multimodal | Claude Fable 557.9 | MarginNo overlap | GPT-OSS 120BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Fable 5 | GPT-OSS 120B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Fable 5$10 input / $50 output | GPT-OSS 120B$0 input / $0 output | GPT-OSS 120B has the lower combined listed price. |
| Generation speedtokens per second | Claude Fable 5Not available | GPT-OSS 120B262 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Fable 5Not available | GPT-OSS 120B0.79 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Fable 51M+ | GPT-OSS 120B128K | Claude Fable 5 lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Claude Fable 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 84.3% | — | Not comparable |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| GDPval-AASource | 1748 | 799 | Claude Fable 5 leads |
| AA Agentic IndexSource | 52.8% | 13.2% | Claude Fable 5 leads |
| τ²-bench resultsSource | 98.5% | 65.8% | Claude Fable 5 leads |
| GDPval-AASource | 62.4% | 15.0% | Claude Fable 5 leads |
| AA BriefcaseSource | 1574 | — | Not comparable |
| AA AutomationBenchSource | 48.6% | — | Not comparable |
| AA EnterpriseOps-GymSource | 51.1% | 25.5% | Claude Fable 5 leads |
| AA Harvey LABSource | 93.6% | — | Not comparable |
| AA Tau3 BankingSource | 26.8% | — | Not comparable |
| terminalBenchHardSource | 62.9% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | — | Not comparable |
| APEX-Agents-AASource | — | 3.1% | Not comparable |
| Gert LabsSource | — | 29.61% | Not comparable |
| AA ITBenchSource | — | 5.6% | Not comparable |
Coding11 benchmarks
| Benchmark | Claude Fable 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95% | — | Not comparable |
| SWE-bench ProSource | 80% | — | Not comparable |
| FrontierCode 1.1 MainSource | 53.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 84.3% | — | Not comparable |
| cursorBench31Source | 70.6% | — | Not comparable |
| cursorBench32Source | 70.5% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 76.5% | 30.4% | Claude Fable 5 leads |
| AA-SciCodeSource | 60.2% | 38.9% | Claude Fable 5 leads |
| React Native EvalsSource | — | 71.6% | Not comparable |
| AA LiveCodeBenchSource | — | 87.8% | Not comparable |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Fable 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 59.9% | 23.8% | Claude Fable 5 leads |
| AA-GPQA DiamondSource | 92.6% | 78.2% | Claude Fable 5 leads |
| AA-HLESource | 53.3% | 18.5% | Claude Fable 5 leads |
| AA-Omniscience IndexSource | 40.2% | -50.0% | Claude Fable 5 leads |
| AA-Omniscience AccuracySource | 61.4% | 21.5% | Claude Fable 5 leads |
| AA-Omniscience Hallucination RateSource | 54.9% | 91.2% | Claude Fable 5 leads |
| AA Openness IndexSource | — | 38.9% | Not comparable |
| AA MMLU-ProSource | — | 80.8% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Fable 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA AIME 2025Source | — | 93.4% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Fable 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 82.8% | Not comparable |
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Fable 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA-IFBenchSource | 63.5% | 69.0% | GPT-OSS 120B leads |
Frequently Asked Questions (3)
Can I compare Claude Fable 5 and GPT-OSS 120B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Fable 5 and GPT-OSS 120B today?
Claude Fable 5: $10.00 input / $50.00 output per 1M tokens GPT-OSS 120B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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