📡 LLM Pulse|🆕 New on leaderboard: Baidu: ERNIE-Light-DT-1.0 by Baidu — $1.13/M tokens1/10
Measurement sources and verification status (16 fields)

Collected third-party figures are not independent tests. A source link and collection date do not establish reproducibility. Exact model version, dataset and test settings may be missing. No independent verification date is supplied.

speed: 80
latency: 0.48
contextWindow: 1000000
inputPrice: 8
outputPrice: 40
benchmarkMmlu: 91.2
benchmarkHumanEval: 92.5
benchmarkMath: 94
benchmarkGpqa: 78.4
reasoningScore: 86
codingScore: 92.5
benchmarkSweBench: 58.2
aaIntelligenceIndex: 65
aaCostPerTask: 3.1
aaOutputSpeed: 46.4
aaLatency: 6.54

Anthropic: Claude Fable 5.2

anthropic🔒 Proprietary
8.3
LLM Stats Scores
86.0
Reasoning
92.5
Coding
🎯
78.4%GPQA Diamond — graduate-level science accuracy
Published benchmark evidence
Task scores are reported independently by each publisher; they are not combined into a hidden quality score.
58.2%
SWE-bench
Artificial Analysis measurements
Published operational results. Cost per task, speed, and latency are kept separate from provider API prices.
View source ↗
Intelligence
65
AA Index
Cost / task
$3.10
AA measured
Output speed
46
tokens / second
TTFT
6.54s
AA measured
Collected 11/11/2026
Quality Score
89.0
Overall (0–100)
Speed
80 c/s
characters/second
Latency (TTFT)
0.48s
to first token
Input Price
$8
per 1M tokens
Output Price
$40
per 1M tokens
Context Window
1M
tokens
Release Date
2026-11-09

30-Day Rank History

📊 Benchmark Scores

Reported scores · % accuracy
0%25%50%75%100%GPQA ◆MMLUHumanEvalMATH
What do these benchmarks test?
🎯
GPQA Diamond78.4%Solid
Designed so that even PhD-level human experts average ~65–70%. A score above 80% signals near-expert scientific reasoning that goes far beyond memorisation.
🧠
MMLU91.2%Top tier
The classic academic breadth benchmark. Top frontier models now score above 85%, so it best distinguishes mid-tier from strong generalist models.
💻
HumanEval92.5%Top tier
Measures whether a model writes functionally correct code — not just plausible-looking syntax. Strong scores (>85%) indicate reliable day-to-day coding assistance.
∑
MATH Benchmark94.0%Top tier
Tests multi-step mathematical reasoning under strict correctness. Even a 60% score requires strong chain-of-thought; top reasoning models now exceed 90%.

💰 Cost Calculator

Input cost
$8.00
Output cost
$20.00
Total / month
$28.00
Annual cost
$336.00
Input: $8/1M
Output: $40/1M
Rate: 1 USD = 1.00 USD · 2026-11-10
754.2% pricier than average
Cheaper alternatives:
Z.ai: GLM 5.2$0.007/1M · Q73

AI Score

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9.2/10

"Industry‑leading performance with massive context and high quality makes it a frontier model"

🤖 AI Analysis