Claude Fable 5 vs Claude Opus 4.5
At a Glance
| Compare | Claude Fable 5Anthropic | Claude Opus 4.5Anthropic |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #2 of 4695.6 score · 3/3 sources · complete | #27 of 4655.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.3 |
| CostLower is better · Published-token output estimate | #44 of 44$1.01 per LiveBench case | #40 of 44$0.380 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #29 of 3847.8 score · 3/3 sources · complete | #36 of 3838.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 28.8–45.4 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $10.00Anthropic ↗ · Sep 3, 2026 | $5.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $50.00Anthropic ↗ · Sep 3, 2026 | $25.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,000K | 200K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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
| Benchmark | Claude Fable 5 | Claude Opus 4.5 |
|---|---|---|
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,496.08100% of row best · rating · claude-fable-5; 95% CI [1488.22135990, 1503.94311259]; votes 8497; rank 5 | 1,462.2098% of row best · rating · claude-opus-4-5-20251101; 95% CI [1451.78988580, 1472.60655272]; votes 7981; rank 21 |
| LMArena Search Arenasearch-2026-08-24-d25aabda0010 · arena_rating · leader | 1,230.22100% of row best · rating · claude-fable-5; 95% CI [1222.30895335, 1238.13609545]; votes 41795; rank 5 | 1,179.6496% of row best · rating · claude-opus-4-5-search; 95% CI [1174.02872051, 1185.26030035]; votes 61573; rank 19 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,492.63100% of row best · rating · claude-fable-5; 95% CI [1487.86770992, 1497.38399139]; votes 30057; rank 7 | 1,447.0897% of row best · rating · claude-opus-4-5-20251101-high-32k; 95% CI [1443.17965746, 1450.98398333]; votes 36239; rank 49 |
| LiveBench2026-06-25 · overall · leader | 86.55100% of row best · percent · claude-fable-5-max-effort · 20,255 output tokens / case | 77.3989% of row best · percent · claude-opus-4-5-20251101-thinking-64k-high-effort · 15,203 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 4 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Claude Fable 5 | Claude Opus 4.5 |
|---|---|---|
| Developer | Anthropic | Anthropic |
| Family | Claude 5 | Claude 4 |
| Model | Claude Fable 5 | Claude Opus 4.5 |
| Version | Claude Fable 5 | Claude Opus 4.5 |
| Lifecycle | active | active |
| Released | 2026-06-09 | 2025-11-24 |
| Knowledge cutoff | Unknown | 2025-05-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 200K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Anthropic (Standard), Deepinfra (Standard), Openrouter (Standard) | Anthropic (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Claude Fable 5 Capabilities
Claude Opus 4.5 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Fable 5 vs Claude Opus 4.5 FAQs
Is Claude Fable 5 or Claude Opus 4.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Fable 5 and Claude Opus 4.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Fable 5 or Claude Opus 4.5?+
Claude Fable 5 is $10.00 and Claude Opus 4.5 is $5.00 per million tokens, so Claude Opus 4.5 is cheaper on this metric. Claude Fable 5 is $50.00 and Claude Opus 4.5 is $25.00 per million tokens, so Claude Opus 4.5 is cheaper on this metric.
Which has a larger context window, Claude Fable 5 or Claude Opus 4.5?+
Claude Fable 5 has the larger sourced context window. Claude Fable 5 supports 1,000K and Claude Opus 4.5 supports 200K.
Which performs better in benchmarks, Claude Fable 5 or Claude Opus 4.5?+
Claude Fable 5 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Claude Fable 5 or Claude Opus 4.5 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Fable 5 is not marked open weight; Claude Opus 4.5 is not marked open weight.
Can Claude Fable 5 and Claude Opus 4.5 understand images?+
Claude Fable 5 is documented with image input; Claude Opus 4.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Fable 5 or Claude Opus 4.5?+
Claude Fable 5 has the larger sourced maximum output: Claude Fable 5 supports 128K and Claude Opus 4.5 supports 64K output tokens.
Do Claude Fable 5 and Claude Opus 4.5 support reasoning and tool use?+
Claude Fable 5: reasoning, tool calling, and image input. Claude Opus 4.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Fable 5 or Claude Opus 4.5?+
Claude Fable 5 has 3 sourced provider routes; Claude Opus 4.5 has 1, so Claude Fable 5 has broader tracked availability.
Which offers better value, Claude Fable 5 or Claude Opus 4.5?+
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.