LIVE
BODYBUILDER$-1000000.00▼ 5.4%
GLM-4-LONG$0.00▼ 14.1%
GEMINI-2.0-FLA$0.30▼ 20.0%
GEMINI-2.0-FLA$0.40▼ 6.6%
-CF$0.00▼ 9.7%
DEEPSEEK-V4-FL$0.28▼ 26.3%
LLAMA-4-MAVERI$0.60▼ 11.9%
GROK-4-FAST$0.50▼ 6.0%
QWEN-PLUS$0.78▼ 0.6%
MINIMAX-M2.1$0.95▲ 2.6%
MINIMAX-M2$1.00▲ 2.9%
MINIMAX-01$1.10▲ 8.0%
GPT-4.1-MINI$1.60▼ 13.7%
GROK-4-1-FAST-$0.50▲ 8.9%
GPT-4.1-MINI-2$1.60▼ 31.8%
XAI$0.00▲ 4.5%
MINIMAX-M2.7$0.00▼ 9.9%
QWEN3.5-FLASH-$0.26▼ 31.0%
GPT-4.1-NANO$0.40▼ 13.0%
GEMINI-2.5-FLA$0.40▼ 0.8%
DEEPSEEK-AI$0.00▼ 27.0%
GROK-4.1-FAST$0.50▼ 16.4%
MINIMAX-M3$1.20▼ 6.1%
GOOGLE$1.50▼ 3.4%
AUTO$0.00▲ 9.7%
GOOGLE$0.00▼ 27.8%
MINIMAX-M2.7$1.20▼ 7.2%
GOOGLE$0.00▼ 0.6%
BODYBUILDER$-1000000.00▼ 5.4%
GLM-4-LONG$0.00▼ 14.1%
GEMINI-2.0-FLA$0.30▼ 20.0%
GEMINI-2.0-FLA$0.40▼ 6.6%
-CF$0.00▼ 9.7%
DEEPSEEK-V4-FL$0.28▼ 26.3%
LLAMA-4-MAVERI$0.60▼ 11.9%
GROK-4-FAST$0.50▼ 6.0%
QWEN-PLUS$0.78▼ 0.6%
MINIMAX-M2.1$0.95▲ 2.6%
MINIMAX-M2$1.00▲ 2.9%
MINIMAX-01$1.10▲ 8.0%
GPT-4.1-MINI$1.60▼ 13.7%
GROK-4-1-FAST-$0.50▲ 8.9%
GPT-4.1-MINI-2$1.60▼ 31.8%
XAI$0.00▲ 4.5%
MINIMAX-M2.7$0.00▼ 9.9%
QWEN3.5-FLASH-$0.26▼ 31.0%
GPT-4.1-NANO$0.40▼ 13.0%
GEMINI-2.5-FLA$0.40▼ 0.8%
DEEPSEEK-AI$0.00▼ 27.0%
GROK-4.1-FAST$0.50▼ 16.4%
MINIMAX-M3$1.20▼ 6.1%
GOOGLE$1.50▼ 3.4%
AUTO$0.00▲ 9.7%
GOOGLE$0.00▼ 27.8%
MINIMAX-M2.7$1.20▼ 7.2%
GOOGLE$0.00▼ 0.6%
USReasoningCLAUDE-3.7-SON Live · updated daily

claude-3.7-sonnet:thinking

Anthropic
Efficiency score
83/100
−28.6%
Input price
$3.00/ 1M tokens
Output price
$15.00/ 1M tokens
Context window
200K
Throughput
161tok/s
Availability
98.0%
Cost / task
$0.014

Capabilities

Accepts (input)
Vision
Produces (output)
Text

7-day heat trend

−28.6%

Pricing breakdown

Input price
$3.00/ 1M tokens
$0.0030 / 1K
Output price
$15.00/ 1M tokens
$0.0150 / 1K
Blended price
$12.00/ 1M tokens
$0.0120 / 1K

Typical 3:1 output-to-input mix, per 1M tokens

Estimated monthly cost by workload

Chat assistant
$2,700/ mo
1K in · 400 out · 10K req/day
RAG / long context
$4,950/ mo
8K in · 600 out · 5K req/day
Agent / tool use
$7,560/ mo
3K in · 1.5K out · 8K req/day
Estimate your cost →

Market position

  • Cheaper than 4% of tracked models
  • Faster than 75% of tracked models
  • Efficiency rank: #1066 of 1105

Best suited for

Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.

About claude-3.7-sonnet:thinking

Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and...

claude-3.7-sonnet:thinking is a Reasoning model from Anthropic (US). HotON.ai tracks it at $3.00 per 1M input tokens and $15.00 per 1M output tokens, with a 200K-token context window, ~161 tokens/sec throughput and 98.0% availability. Its composite efficiency score is 83/100 at an estimated $0.014 per successful task.

Compare claude-3.7-sonnet:thinking

CLAUDE-3.7-SON vs SONAR-REASONINCLAUDE-3.7-SON vs O3CLAUDE-3.7-SON vs O4-MINI-DEEP-RCLAUDE-3.7-SON vs SONAR-REASONIN

Related market news

Google DeepMind Releases Gemma 4 QAT Checkpoints: Q4_0 and a New Mobile Format Cut On-Device Memory21 hours agoGoogle will pay SpaceX $920M per month for compute21 hours agoS&P 500 rejects SpaceX, also blocking entry for OpenAI and Anthropic21 hours ago

Frequently asked questions

How much does claude-3.7-sonnet:thinking cost per 1M tokens?+

claude-3.7-sonnet:thinking is tracked at $3.00 per 1M input tokens and $15.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $12.00 per 1M tokens. Figures are illustrative demo data.

What is claude-3.7-sonnet:thinking best for?+

Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.

How fast is claude-3.7-sonnet:thinking?+

claude-3.7-sonnet:thinking delivers about 161 tokens/sec with 98.0% tracked availability, suitable for latency-sensitive, real-time applications.

Is claude-3.7-sonnet:thinking cheaper than other AI models?+

Within the HotON.ai tracked set, claude-3.7-sonnet:thinking is cheaper than 4% of models on input price and ranks #1066 of 1105 by overall efficiency.

Related models

sonar-reasoning-pro
Perplexity
−27.5%
o3
OpenAI
−29.5%
o4-mini-deep-research
OpenAI
−8.8%
sonar-reasoning
Perplexity
−27.4%

Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.