Replicate: Models Intelligence, Performance & Price
Analysis of Replicate's models across key metrics including quality, price, output speed, latency, context window & more. This analysis is intended to support you in choosing the best model provided by Replicate for your use-case.
Most Intelligent
Intelligence index
Total 2 models
Fastest
Output speed
Total 2 models
Lowest Price
Blended price (per 1M tokens)
Total 2 models
Replicate offers 2 models, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across models.
- For intelligence, the top models on Replicate are Granite 4.0 H Small (5) and Granite 3.3 8B (2).
- For output speed, the fastest models are Granite 4.0 H Small (346 t/s) and Granite 3.3 8B (342 t/s).
- For latency, Granite 4.0 H Small (10.26s) and Granite 3.3 8B (27.38s) offer the lowest time to first answer token.
- For pricing, Granite 3.3 8B ($0.05) and Granite 4.0 H Small ($0.08) offer the lowest blended prices per 1M tokens.
- For context window size, Granite 4.0 H Small (128k) and Granite 3.3 8B (128k) support the largest context windows on Replicate.
- Granite 4.0 H Small offers the best combination of intelligence and speed. For cost optimization, Granite 3.3 8B provides the most competitive pricing.
Highlights
Intelligence Evaluations
Artificial Analysis Intelligence Index
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000
Agentic tool use
Agentic coding & terminal use
Coding
Reasoning & knowledge
Scientific reasoning
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Agentic knowledge work, Elo
Agentic SaaS workflows
Legal agentic work, criterion pass rate
Agentic business operations
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
Intelligence Index vs. Price
Context Window
Context Window
Pricing
Intelligence Index vs. Price
Performance Summary
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time vs. Price
Further Analysis | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
 DeepSeek V3 0324 | 128k | Open | 15 | $0.24 | -- | -- | -- | -- | |||
Granite 4.0 H Small | 128k | Open | 5* | -- | 346 | 10.26 | 11.71 | -- | |||
 Llama 2 Chat 7B | 4.1k | Open | 4* | -- | -- | -- | -- | -- | |||
Llama 3 70B | 8.19k | Open | 3* | -- | -- | -- | -- | -- | |||
Granite 3.3 8B | 128k | Open | 2* | -- | 342 | 27.38 | 28.84 | -- | |||
Llama 3 8B | 8.19k | Open | 1* | -- | -- | -- | -- | -- | |||
Key definitions
Frequently Asked Questions
Common questions about Replicate
Replicate offers 2 models that we track: Granite 4.0 H Small and Granite 3.3 8B.
The most intelligent model available on Replicate is Granite 4.0 H Small with an Intelligence Index score of 5.
The fastest model on Replicate by output speed is Granite 4.0 H Small at 346.4 tokens per second.
The model with the lowest time to first answer token on Replicate is Granite 4.0 H Small at 10.26s. Lower latency means faster initial response time.
The most affordable model on Replicate by blended price is Granite 3.3 8B at $0.05 per 1M tokens (7:2:1 cache hit/input/output ratio).
Prices on Replicate vary up to 2x across models, from $0.05 per 1M tokens for Granite 3.3 8B to $0.08 per 1M tokens for Granite 4.0 H Small.
Yes, Replicate offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.
Yes, all 2 models on Replicate are open weight models.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
When choosing a model on Replicate, consider: intelligence (for quality-sensitive tasks), output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and features like context window size, JSON mode, or function calling support.