MModelspectraIndependent AI Model Intelligence
Head-to-head · Updated 2026-09-08
中文
Model Comparison · Head to Head

Claude Fable 5 vs Claude Fable 5.1

The two are level across all three aggregates. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorAnthropic / Anthropic
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Claude Fable 5 when lower refusal matter most; choose Claude Fable 5.1 when lower latency is the priority.

Choose Claude Fable 5 if you…

  • Strongest all-round reasoning
  • Reliable long-context recall
  • Top-tier coding
  • Best for: Deep reasoning, Long documents, Coding

Choose Claude Fable 5.1 if you…

  • Top agentic coding (Terminal-Bench 55.8)
  • Highest AA Intelligence Index
  • Reliable 1M long-running agents
  • Cache reads 75% cheaper
  • Best for: Agentic coding, Long-horizon tasks, Scientific research
02

Head-to-head aggregate scores

Scores are 0–100, aggregated from public benchmark information and independently weighted across three leaderboards. Rank is out of 26 tracked models.

Claude Fable 5 Higher overall
Anthropic · #2 overall
Overall95
Coding99
Multimodal97
VS
Claude Fable 5.1
Anthropic · #2 overall
Overall95
Coding99
Multimodal97

Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.

03

Specs & pricing — every field side by side

List API prices in USD per 1M tokens. The highlighted cell is the stronger value/capability on that row.

DimensionClaude Fable 5Claude Fable 5.1Verdict
VendorAnthropic (US)Anthropic (US)Same vendor
Released2026.062026.09Claude Fable 5.1 is newer
Overall (rank)95 · #295 · #2Tie
Coding99 · #199 · #1Tie
Multimodal97 · #197 · #1Tie
Context window1M1MTie
Max output128K128KTie
Effective-context9899Claude Fable 5.1 more reliable
Input $/1M$10$10Tie
Output $/1M$50$50Tie
Cache discount90% off90% offTie
Speed~30 tok/s~32 tok/sClaude Fable 5.1 faster
TTFT1.2s1.1sClaude Fable 5.1 snappier
Function calling9293Claude Fable 5.1 ahead
Refusal rate~8%~9%Claude Fable 5 less restrictive
English9899Claude Fable 5.1
Chinese8283Claude Fable 5.1
Modalitiestext, imagetext, imageSame
Open weightsNoNoBoth closed
Fine-tuningNoNo
Free tierNo free tier; $5 credit to startNo free tier; cache reads cut to a quarter of cost
SOC2 / no-trainyes / yesyes / yes
Private deploymentNoNoNeither

Fields drawn from vendor public documentation and the Modelspectra 26-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

The two are level on the overall aggregate (95/100 each), a gap inside the 3-point band where rankings are statistically indistinguishable and task-specific results can swap.

Agentic coding

Both score 99/100 on the coding aggregate, so expect parity on most day-to-day engineering tasks.

Multimodal

They tie on the multimodal aggregate at 97. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

Claude Fable 5.1 is faster in interactive use: ~32 tok/s with 1.1s TTFT versus ~30 tok/s with 1.2s TTFT (about 1.1× the throughput). For conversational UIs where perceived responsiveness drives retention, that edge is a real product factor even when raw reasoning is lower.

Context: window vs usable recall

Nominal windows are 1M for Claude Fable 5 and 1M for Claude Fable 5.1. Crucially, the larger nominal window does not win on usable recall: Claude Fable 5 advertises 1M but Claude Fable 5.1 scores higher on effective-context (99 vs 98), i.e. it actually retains more of what it was given.

Price & total cost

Claude Fable 5 is the cheaper API at $10/$50 versus Claude Fable 5.1 at $10/$50 per 1M input/output tokens — list input is about 1.0× lower. Cache discounts (Claude Fable 5 90% vs Claude Fable 5.1 90%) shift the effective bill, worked out below.

Chinese vs English

English: Claude Fable 5 98 vs Claude Fable 5.1 99. Chinese: 82 vs 83. Both are US-based models; for Chinese-first workloads also compare domestic models on the leaderboard.

Tool use & ecosystem

Function-calling score: Claude Fable 5 92 vs Claude Fable 5.1 93, so Claude Fable 5.1 has the edge on structured tool use. Neither offers standard fine-tuning. Factor in existing SDK/plugin familiarity — switching cost often outweighs a few-point tool-use gap.

05

Cost worked example — same workload, real token math

Assume a production workload of 100M input + 30M output tokens per month, with 90% of input tokens served from cache. Figures use public list prices.

Scenario · per monthClaude Fable 5Claude Fable 5.1Gap
List priceno cache applied$2,500100M in × $10  +  30M out × $50$2,500100M in × $10  +  30M out × $501.00×even
With caching90% of inputs cache-hit$1,69090M cached in × $1  +  10M in × $10  +  30M out × $50$1,69090M cached in × $1  +  10M in × $10  +  30M out × $501.00×even

Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.

06

Decision tree

IF you serve real-time users and latency is a product KPI  →  choose Claude Fable 5.1 (~32 tok/s, 1.1s TTFT).
IF long-document recall has to be near-perfect  →  choose Claude Fable 5.1 (effective context 99 vs 98).
07

Frequently asked questions

How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Claude Fable 5 is about $1,690/month and Claude Fable 5.1 about $1,690/month after cache discounts ($2,500 and $2,500 at list).
Does the bigger context window actually matter?
Nominal windows are Claude Fable 5 (1M) and Claude Fable 5.1 (1M), but usable recall follows the effective-context score (98 vs 99). Prefer the higher effective-context model for long-document work where nothing can be missed.
Is Claude Fable 5 worth choosing over Claude Fable 5.1 within Anthropic?
Both come from Anthropic. Claude Fable 5 is the vendor's higher tier (95 vs 95 overall) and is the pick when you want this lab's strongest model; Claude Fable 5.1 costs less and remains the sensible choice where its score already clears the bar.
What is the single-line recommendation?
Choose Claude Fable 5 for Deep reasoning, Long documents; choose Claude Fable 5.1 for Agentic coding, Long-horizon tasks.
How quickly do these rankings change?
Modelspectra refreshes the aggregate as new public benchmarks and prices appear. Treat scores within 3 points as a tie and re-check before a committed purchase.