📡 LLM Pulse|🆕 New on leaderboard: Baidu: ERNIE-Light-DT-1.0 by Baidu — $1.13/M tokens1/10
Measurement sources and verification status (12 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: 0.55
contextWindow: 128000
inputPrice: 0.0375
outputPrice: 0.15
benchmarkMmlu: 75.7
benchmarkHumanEval: 75
benchmarkMath: 62
benchmarkGpqa: 22
reasoningScore: 50
codingScore: 75
benchmarkSweBench: 29

Cohere: Command R7B (12-2024)

cohere🔒 Proprietary

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...

6.3
LLM Stats Scores
50.0
Reasoning
75.0
Coding
🎯
22.0%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.
29.0%
SWE-bench
Quality Score
63.0
Overall (0–100)
Speed
160 c/s
characters/second
Latency (TTFT)
0.55s
to first token
Input Price
$0.0375
per 1M tokens
Output Price
$0.15
per 1M tokens
Context Window
128K
tokens
Release Date
2024-12-14

30-Day Rank History

📊 Benchmark Scores

Reported scores · % accuracy
0%25%50%75%100%GPQA ◆MMLUHumanEvalMATH
What do these benchmarks test?
🎯
GPQA Diamond22.0%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.
🧠
MMLU75.7%Solid
The classic academic breadth benchmark. Top frontier models now score above 85%, so it best distinguishes mid-tier from strong generalist models.
💻
HumanEval75.0%Solid
Measures whether a model writes functionally correct code — not just plausible-looking syntax. Strong scores (>85%) indicate reliable day-to-day coding assistance.
∑
MATH Benchmark62.0%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
$0.037
Output cost
$0.075
Total / month
$0.11
Annual cost
$1.35
Input: $0.0375/1M
Output: $0.15/1M
Rate: 1 USD = 1.00 USD · 2026-11-10
96.6% cheaper than average
Cheaper alternatives:
Z.ai: GLM 5.2$0.007/1M · Q73

AI Score

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6.5/10

"Strong reasoning and cost‑effective, good for many applications"

🤖 AI Analysis