Model comparison
1-bit Bonsai 1.7B vs Claude Fable 5
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: 1-bit Bonsai 1.7B unranked (Not scored); Claude Fable 5 #2 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. 1-bit Bonsai 1.7B and Claude Fable 5 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to 1-bit Bonsai 1.7B; 34 to Claude Fable 5.
Updated July 23, 2026- Shared results
- 0
- 1-bit Bonsai 1.7B only
- 0
- Claude Fable 5 only
- 34
- Comparable categories
- 0 / 8
Benchmark data for 1-bit Bonsai 1.7B and Claude Fable 5 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for 1-bit Bonsai 1.7B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
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 1-bit Bonsai 1.7B. Claude Fable 5 has the larger context window at 1M+, compared with 32K for 1-bit Bonsai 1.7B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | 1-bit Bonsai 1.7B | Claude Fable 5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | 1-bit Bonsai 1.7B$0 input / $0 output | Claude Fable 5$10 input / $50 output | 1-bit Bonsai 1.7B has the lower combined listed price. |
| Generation speedtokens per second | 1-bit Bonsai 1.7BNot available | Claude Fable 5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | 1-bit Bonsai 1.7BNot available | Claude Fable 5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | 1-bit Bonsai 1.7B32K | Claude Fable 51M+ | Claude Fable 5 lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | 1-bit Bonsai 1.7B | Claude Fable 5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 84.3% | Not comparable |
| OSWorld-VerifiedSource | — | 85% | Not comparable |
| GDPval-AASource | — | 1748 | Not comparable |
| AA Agentic IndexSource | — | 52.8% | Not comparable |
| τ²-bench resultsSource | — | 98.5% | Not comparable |
| GDPval-AASource | — | 62.4% | Not comparable |
| AA BriefcaseSource | — | 1574 | Not comparable |
| AA AutomationBenchSource | — | 48.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 51.1% | Not comparable |
| AA Harvey LABSource | — | 93.6% | Not comparable |
| AA Tau3 BankingSource | — | 26.8% | Not comparable |
| terminalBenchHardSource | — | 62.9% | Not comparable |
| aaTerminalBench21Source | — | 84.6% | Not comparable |
Coding9 benchmarks
| Benchmark | 1-bit Bonsai 1.7B | Claude Fable 5 | 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% | Not comparable |
| AA-SciCodeSource | — | 60.2% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | 1-bit Bonsai 1.7B | Claude Fable 5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 59.9% | Not comparable |
| AA-GPQA DiamondSource | — | 92.6% | Not comparable |
| AA-HLESource | — | 53.3% | Not comparable |
| AA-Omniscience IndexSource | — | 40.2% | Not comparable |
| AA-Omniscience AccuracySource | — | 61.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 54.9% | Not comparable |
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | 1-bit Bonsai 1.7B | Claude Fable 5 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 63.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare 1-bit Bonsai 1.7B and Claude Fable 5 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 1-bit Bonsai 1.7B and Claude Fable 5 today?
1-bit Bonsai 1.7B: $0.00 input / $0.00 output per 1M tokens Claude Fable 5: $10.00 input / $50.00 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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