CL-SN55 941 —
GPT-61S 885 —
GPT-56T 861 —
GPT-6S 825 —
CL-OP55X 818 -0.1%
MUSE-SPK 793 —
QWEN-38X 779 —
GPT-6A 778 —
CL-OP5H 711 -0.1%
CL-OP5X 709 -0.1%
KIMI-K3X 699 -0.1%
CL-OP46H 694 -0.1%
CL-FAB5H 692 -0.1%
CL-OP55H 692 -0.1%
CL-OP47H 683 -0.1%
GEM-37FH 648 -0.2%
GEM-38FH 633 -0.2%
INKL 531 —
CL-OP47 529 -0.2%
GPT-56S 529 -5.9%
GEM-3P 493 —
CL-OP46 488 —
CL-OP48 481 —
GEM-31P 453 -0.2%
GPT-6L 436 —
CL-SN55 941 —
GPT-61S 885 —
GPT-56T 861 —
GPT-6S 825 —
CL-OP55X 818 -0.1%
MUSE-SPK 793 —
QWEN-38X 779 —
GPT-6A 778 —
CL-OP5H 711 -0.1%
CL-OP5X 709 -0.1%
KIMI-K3X 699 -0.1%
CL-OP46H 694 -0.1%
CL-FAB5H 692 -0.1%
CL-OP55H 692 -0.1%
CL-OP47H 683 -0.1%
GEM-37FH 648 -0.2%
GEM-38FH 633 -0.2%
INKL 531 —
CL-OP47 529 -0.2%
GPT-56S 529 -5.9%
GEM-3P 493 —
CL-OP46 488 —
CL-OP48 481 —
GEM-31P 453 -0.2%
GPT-6L 436 —
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Claude Fable 5.1 Holds LiveBench Lead at 83.4 as Opus 5.5 Thinking Debuts at #2

Claude Fable 5.1 remains at the top of the September 2026 LiveBench run with 83.4 overall, despite the arrival of Claude Opus 5.5 Thinking four days ago. The newer model debuted directly at #2 with 83.2.

Where Each Model Wins

CategoryFable 5.1Opus 5.5 Thinking
Overall83.483.2
Reasoning91.792.2
Coding86.489.3
Agentic Coding66.171.7
Math97.097.1
Data Analysis80.380.3
Language89.586.3
Instruction Following73.065.7
Cost per task$1.212$0.799

Opus 5.5 Thinking leads on four of seven task categories — reasoning, coding, agentic coding, and math. Data analysis is a tie at 80.3. Its agentic coding score of 71.7 is the strongest among closed frontier models on this run, outpacing Fable 5.1 by 5.6 points. Its weakness is instruction following at 65.7 — 7.3 points behind Fable 5.1. That deficit on a category Fable 5.1 wins by a wide margin is what keeps the newer model in second place overall.

Extended-thinking models routinely underperform on strict instruction following. The internal reasoning chain can override precise format constraints, a trade-off that shows up predictably on LiveBench’s instruction following tasks.

The Cost Gap

Fable 5.1 at $1.212 per successful task is 52% more expensive than Opus 5.5 Thinking at $0.799. For the same overall score tier, the economics favor Opus 5.5 Thinking in production.

Claude Fable 5 (original) costs $1.439 per task at 83.0 overall — more expensive than either and now third behind its own update.

Full Top-6 Leaderboard

RankModelOverallCost/Task
1Claude Fable 5.1 Max Effort83.4$1.212
2Claude Opus 5.5 Thinking Max Effort83.2$0.799
3Claude Fable 5 Max Effort83.0$1.439
4GPT-6 Astra Max Effort82.2$0.736
5Muse Spark 1.3 xHigh Effort81.6$0.219
6DeepSeek V4.1 Flash Max Effort (open)81.1$0.029

Muse Spark 1.3 at $0.219 per task is the best-value model in the top five. DeepSeek V4.1 Flash, open-weight, sits at 81.1 with the lowest per-task cost on the board. Its agentic coding score of 77.3 is the highest of any model in the top six — open or closed.

Opus 5.5 Thinking’s debut at #2 within four days of release is consistent with how frontier thinking-model launches have performed on LiveBench since early 2026. High-ceiling reasoning benchmarks reward extended compute. Whether the instruction-following deficit narrows in later runs will determine if Opus 5.5 Thinking eventually overtakes Fable 5.1.