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

Claude Fable 5 vs Claude Opus 5

Claude Fable 5 wins on Overall, Coding, Multimodal. 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 coding depth, long-context reliability matter most; choose Claude Opus 5 when lower cost, 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 Opus 5 if you…

  • Dependable and stable
  • Strong reasoning depth
  • Strong long-document handling
  • Best for: Deep reasoning, Long documents, Coding
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 22 tracked models.

Claude Fable 5 Higher overall
Anthropic · #1 overall
Overall95
Coding99
Multimodal97
VS
Claude Opus 5
Anthropic · #2 overall
Overall87
Coding97
Multimodal91

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 Opus 5Verdict
VendorAnthropic (US)Anthropic (US)Same vendor
Released2026.062026.07Claude Opus 5 is newer
Overall (rank)95 · #187 · #2Claude Fable 5 +8
Coding99 · #197 · #2Claude Fable 5 +2
Multimodal97 · #191 · #5Claude Fable 5 +6
Context window1M1MTie
Max output128K128KTie
Effective-context9897Claude Fable 5 more reliable
Input $/1M$10$5Claude Opus 5 cheaper
Output $/1M$50$25Claude Opus 5 cheaper
Cache discount90% off90% offTie
Speed~30 tok/s~45 tok/sClaude Opus 5 faster
TTFT1.2s0.9sClaude Opus 5 snappier
Function calling9290Claude Fable 5 ahead
Refusal rate~8%~7%Claude Opus 5 less restrictive
English9896Claude Fable 5
Chinese8280Claude Fable 5
Modalitiestext, imagetext, imageSame
Open weightsNoNoBoth closed
Fine-tuningNoNo
Free tierNo free tier; $5 credit to startNo free tier
SOC2 / no-trainyes / yesyes / yes
Private deploymentNoNoNeither

Fields drawn from vendor public documentation and the Modelspectra 22-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

Claude Fable 5 leads the overall aggregate by 8 points (95 vs 87). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Claude Opus 5 remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a modest gap: Claude Fable 5 scores 99 against 97. On multi-file edits, SWE-style tickets and long-horizon agent loops Claude Fable 5 needs fewer correction turns; Claude Opus 5 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Claude Fable 5 leads multimodal 97 vs 91. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

Claude Opus 5 is faster in interactive use: ~45 tok/s with 0.9s TTFT versus ~30 tok/s with 1.2s TTFT (about 1.5× 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 Opus 5. Effective-context scores point the same way as window size — Claude Fable 5 is ahead on usable recall (98 vs 97), so prefer it for long-document work where details cannot be missed.

Price & total cost

Claude Opus 5 is the cheaper API at $5/$25 versus Claude Fable 5 at $10/$50 per 1M input/output tokens — list input is about 2.0× lower. Cache discounts (Claude Fable 5 90% vs Claude Opus 5 90%) shift the effective bill, worked out below.

Chinese vs English

English: Claude Fable 5 98 vs Claude Opus 5 96. Chinese: 82 vs 80. 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 Opus 5 90, so Claude Fable 5 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 Opus 5Gap
List priceno cache applied$2,500100M in × $10  +  30M out × $50$1,250100M in × $5  +  30M out × $252.00×gap
With caching90% of inputs cache-hit$1,69090M cached in × $1  +  10M in × $10  +  30M out × $50$84590M cached in × $0.5  +  10M in × $5  +  30M out × $252.00×gap

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 the workload is agentic or multi-file coding and a wrong first pass is expensive  →  choose Claude Fable 5 (coding 99 vs 97).
IF you serve real-time users and latency is a product KPI  →  choose Claude Opus 5 (~45 tok/s, 0.9s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose Claude Opus 5 ($$5/$$25 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Claude Fable 5 (effective context 98 vs 97).
07

Frequently asked questions

Is Claude Fable 5 worth the higher price over Claude Opus 5?
At list the input rate is 2.0x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when Claude Fable 5's stronger dimensions protect revenue; for routine volume Claude Opus 5 is the economical pick.
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 Opus 5 about $845/month after cache discounts ($2,500 and $1,250 at list).
Does the bigger context window actually matter?
Nominal windows are Claude Fable 5 (1M) and Claude Opus 5 (1M), but usable recall follows the effective-context score (98 vs 97). Prefer the higher effective-context model for long-document work where nothing can be missed.
Is Claude Fable 5 worth choosing over Claude Opus 5 within Anthropic?
Both come from Anthropic. Claude Fable 5 is the vendor's higher tier (95 vs 87 overall) and is the pick when you want this lab's strongest model; Claude Opus 5 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 Opus 5 for Deep reasoning, Long documents.
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.