📡 LLM Pulse|🆕 New on leaderboard: Baidu: ERNIE-Light-DT-1.0 by Baidu — $1.13/M tokens1/10
Measurement sources and verification status (15 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: 160
latency: 0.28
contextWindow: 65536
inputPrice: 0.1
outputPrice: 0.2
benchmarkMmlu: 68
benchmarkHumanEval: 68
benchmarkMath: 64
benchmarkGpqa: 50
reasoningScore: 57
codingScore: 68
aaIntelligenceIndex: 6
aaOutputSpeed: 92
aaLatency: 6.85
aaEndToEndTime: 28.5

Reka Flash 3

rekaai🔒 Proprietary

Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...

6.3
LLM Stats Scores
57.0
Reasoning
68.0
Coding
🎯
50.0%GPQA Diamond — graduate-level science accuracy
Artificial Analysis measurements
Published operational results. Cost per task, speed, and latency are kept separate from provider API prices.
View source ↗
Intelligence
6
AA Index
Output speed
92
tokens / second
TTFT
6.85s
AA measured
Response time
28.50s
end to end
Collected 11/11/2026
Quality Score
63.0
Overall (0–100)
Speed
160 c/s
characters/second
Latency (TTFT)
0.28s
to first token
Input Price
$0.1
per 1M tokens
Output Price
$0.2
per 1M tokens
Context Window
66K
tokens
Release Date
2025-03-12

30-Day Rank History

📊 Benchmark Scores

Reported scores · % accuracy
0%25%50%75%100%GPQA ◆MMLUHumanEvalMATH50.0%68.0%68.0%64.0%
What do these benchmarks test?
🎯
GPQA Diamond50.0%Below avg
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.
🧠
MMLU68.0%Below avg
The classic academic breadth benchmark. Top frontier models now score above 85%, so it best distinguishes mid-tier from strong generalist models.
💻
HumanEval68.0%Below avg
Measures whether a model writes functionally correct code — not just plausible-looking syntax. Strong scores (>85%) indicate reliable day-to-day coding assistance.
∑
MATH Benchmark64.0%Solid
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
$0.10
Output cost
$0.10
Total / month
$0.20
Annual cost
$2.40
Input: $0.1/1M
Output: $0.2/1M
Rate: 1 USD = 1.00 USD · 2026-11-10
93.9% cheaper than average
Cheaper alternatives:
Z.ai: GLM 5.2$0.007/1M · Q73

AI Score

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5.5/10

"Fast and cheap with decent quality for lightweight tasks"

🤖 AI Analysis

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