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

Claude Fable 5 vs Muse Spark 1.1

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 / Meta
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 Muse Spark 1.1 when lower cost, fine-tuning/ecosystem 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 Muse Spark 1.1 if you…

  • Completely free open weights
  • By Meta
  • Self-hostable
  • Multimodal
  • Best for: Open research, Local deployment, Experimental
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
Muse Spark 1.1
Meta · #22 overall
Overall61
Coding59
Multimodal75

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 5Muse Spark 1.1Verdict
VendorAnthropic (US)Meta (US)Different vendors
Released2026.062026.08Muse Spark 1.1 is newer
Overall (rank)95 · #161 · #22Claude Fable 5 +34
Coding99 · #159 · #21Claude Fable 5 +40
Multimodal97 · #175 · #15Claude Fable 5 +22
Context window1M256KClaude Fable 5 larger
Max output128K64KMuse Spark 1.1 longer
Effective-context9880Claude Fable 5 more reliable
Input $/1M$10FreeMuse Spark 1.1 cheaper
Output $/1M$50FreeMuse Spark 1.1 cheaper
Cache discount90% offnoneClaude Fable 5 deeper
Speed~30 tok/sHardware-dependentClaude Fable 5 faster
TTFT1.2sHardware-dependentClaude Fable 5 snappier
Function calling9265Claude Fable 5 ahead
Refusal rate~8%~4%Muse Spark 1.1 less restrictive
English9878Claude Fable 5
Chinese8260Claude Fable 5
Modalitiestext, imagetext, imageSame
Open weightsNoYesMuse Spark 1.1 is open
Fine-tuningNoYes
Free tierNo free tier; $5 credit to startFully free (model weights)
SOC2 / no-trainyes / yesno / yes
Private deploymentNoYesMuse Spark 1.1

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 34 points (95 vs 61). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Muse Spark 1.1 remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a decisive gap: Claude Fable 5 scores 99 against 59. On multi-file edits, SWE-style tickets and long-horizon agent loops Claude Fable 5 needs fewer correction turns; Muse Spark 1.1 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Claude Fable 5 leads multimodal 97 vs 75. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

Muse Spark 1.1 is self-hosted, so its speed depends on your hardware; against a managed API like Claude Fable 5 (~30 tok/s, 1.2s TTFT) compare on your own infrastructure before assuming latency.

Context: window vs usable recall

Nominal windows are 1M for Claude Fable 5 and 256K for Muse Spark 1.1. Effective-context scores point the same way as window size — Claude Fable 5 is ahead on usable recall (98 vs 80), so prefer it for long-document work where details cannot be missed.

Price & total cost

Muse Spark 1.1 is free open weights (you pay only for the infrastructure you run it on), while Claude Fable 5 is a paid API at $10/$50 per 1M tokens. The real comparison is total cost of ownership — GPU/ops against a managed bill — not list price alone.

Chinese vs English

English: Claude Fable 5 98 vs Muse Spark 1.1 78. Chinese: 82 vs 60. 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 Muse Spark 1.1 65, so Claude Fable 5 has the edge on structured tool use. Fine-tuning is available from Muse Spark 1.1. 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.

Cost note: one of these models is free open weights, so a per-token monthly bill does not apply — budget instead for GPU and operations. The paid API counterpart works out to roughly $2,500/month at list for this workload.

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 59).
IF you serve real-time users and latency is a product KPI  →  choose Claude Fable 5 (~30 tok/s, 1.2s TTFT).
IF you need free, self-hostable weights and can run your own GPU/ops  →  choose Muse Spark 1.1 (free open weights).
IF long-document recall has to be near-perfect  →  choose Claude Fable 5 (effective context 98 vs 80).
07

Frequently asked questions

Which is better for agentic coding?
Claude Fable 5 is decisively stronger for coding (99 vs 59 on the aggregate). The gap shows on SWE-style multi-file tasks and long agent loops that need fewer correction turns; Muse Spark 1.1 is fine for routine scripts.
Does the bigger context window actually matter?
Nominal windows are Claude Fable 5 (1M) and Muse Spark 1.1 (256K), but usable recall follows the effective-context score (98 vs 80). Prefer the higher effective-context model for long-document work where nothing can be missed.
Can I self-host either model?
Muse Spark 1.1 ships open weights and can be self-hosted (GPU permitting) for data control; Claude Fable 5 is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.
Which one supports fine-tuning?
Muse Spark 1.1 supports fine-tuning; Claude Fable 5 does not at this tier. If you plan to adapt the model to a narrow domain, that is a concrete differentiator.
Which handles multimodal inputs better?
Multimodal scores are 97 (Claude Fable 5) vs 75 (Muse Spark 1.1), with modality coverage text/image versus text/image. Match the model to the input types your product actually receives.
What is the single-line recommendation?
Choose Claude Fable 5 for Deep reasoning, Long documents; choose Muse Spark 1.1 for Open research, Local deployment.