Bolmo 7B vs Claude Fable 5.1
At a Glance
| Compare | Bolmo 7BAi2 | Claude Fable 5.1Anthropic |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #1 of 4699.0 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #43 of 44$0.824 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #22 of 3851.7 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $10.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $50.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 66K | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 2, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Bolmo 7B | Claude Fable 5.1 |
|---|---|---|
| Developer | Ai2 | Anthropic |
| Family | Bolmo | Claude 5 1 |
| Model | Bolmo 7B | Claude Fable 5.1 |
| Version | Bolmo 7B | Claude Fable 5.1 |
| Lifecycle | active | active |
| Released | 2025-12-13 | 2026-09-01 |
| Knowledge cutoff | 2024-12-01 | 2026-06-01 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 66K | 1,000K |
| Total parameters | 7.6B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | No | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Anthropic (Standard) |
| Capabilities | generation | chat, generation, reasoning, tools |
Bolmo 7B Capabilities
Claude Fable 5.1 Capabilities
Primary Evidence
Sources and Freshness
Questions
Bolmo 7B vs Claude Fable 5.1 FAQs
Is Bolmo 7B or Claude Fable 5.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Bolmo 7B and Claude Fable 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Bolmo 7B or Claude Fable 5.1?+
Only Claude Fable 5.1 has a directly sourced input price: $10.00 per million tokens. Only Claude Fable 5.1 has a directly sourced output price: $50.00 per million tokens.
Which has a larger context window, Bolmo 7B or Claude Fable 5.1?+
Claude Fable 5.1 has the larger sourced context window. Bolmo 7B supports 66K and Claude Fable 5.1 supports 1,000K.
Which performs better in benchmarks, Bolmo 7B or Claude Fable 5.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Bolmo 7B or Claude Fable 5.1 be self-hosted?+
Bolmo 7B is the only model in this pair currently marked as self-hostable. Bolmo 7B is open weight; Claude Fable 5.1 is not marked open weight.
Can Bolmo 7B and Claude Fable 5.1 understand images?+
Bolmo 7B is not documented with image input; Claude Fable 5.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Bolmo 7B or Claude Fable 5.1?+
Neither has a larger sourced maximum output. Bolmo 7B is — and Claude Fable 5.1 is 128K.
Do Bolmo 7B and Claude Fable 5.1 support reasoning and tool use?+
Bolmo 7B: none of these features are definitively sourced. Claude Fable 5.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Bolmo 7B or Claude Fable 5.1?+
Bolmo 7B has 0 sourced provider routes; Claude Fable 5.1 has 1, so Claude Fable 5.1 has broader tracked availability.
Which offers better value, Bolmo 7B or Claude Fable 5.1?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.