Baseten: Models Intelligence, Performance & Price
This analysis is intended to support you in choosing the best model provided by Baseten for your use-case.
Most Intelligent
Updated
GLM-5.3 (max)GLM-5.3 (max) (FAST)
Kimi K3 (max)GLM-5.3-Flash
DeepSeek V4.1 Flash (max)Intelligence index
Total 23 models
Fastest
Inkling SmallDeepSeek V4 Flash 0731 (max)DeepSeek V4.1 Flash (max)
gpt-oss-120b (low)GLM-5.2 (max) (FAST)Output speed
Total 23 models
Lowest Price
DeepSeek V4 Flash 0731 (max)GLM-5.3-Flashgpt-oss-120b (high)gpt-oss-120b (low)DeepSeek V4.1 Flash (max)Blended price (per 1M tokens)
Total 23 models
Baseten offers 23 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 Baseten are GLM-5.3 (max) (45), GLM-5.3 (max) (FAST) (45), and Kimi K3 (max) (44).
- For output speed, the fastest models are Inkling Small (320 t/s), DeepSeek V4 Flash 0731 (max) (297 t/s), and DeepSeek V4.1 Flash (max) (296 t/s).
- For latency, DeepSeek V4 Pro (Non-reasoning) (0.61s), GLM-4.7 (Non-reasoning) (0.65s), and GLM-5.2 (Non-reasoning) (FAST) (1.83s) offer the lowest time to first answer token.
- For pricing, DeepSeek V4 Flash 0731 (max) ($0.07), GLM-5.3-Flash ($0.10), and gpt-oss-120b (high) ($0.14) offer the lowest blended prices per 1M tokens. Prices vary up to 2.8x across models.
- For context window size, GLM-5.3 (max) (1M), Kimi K3 (max) (1M), and DeepSeek V4 Flash 0731 (max) (1M) support the largest context windows on Baseten.
Highlights
Intelligence Evaluations
Artificial Analysis Intelligence Index
Intelligence Evaluations
Agentic knowledge work, (Elo-500)/2000
Agentic real-world work tasks, (Elo-500)/2000
Agentic SaaS workflows
Agentic coding & terminal use
Coding
Reasoning & knowledge
Professional document reasoning, All-pass
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Legal agentic work, criterion pass rate
Agentic business operations
Quantitative analysis on spreadsheets & documents
Instruction following
Agentic tool use
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 Answer 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 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
GLM-5.3 (max) | 1.05M | Open | 45 | $1.43 | 122 | 1.63 | 22.16 | 16.42 | |||
GLM-5.3 (max) (FAST) | 1M | Open | 45 | $2.15 | 236 | 1.26 | 11.86 | 8.48 | |||
Kimi K3 (max) | 1.05M | Open | 44 | $2.01 | 94 | 0.79 | 27.43 | 21.31 | |||
GLM-5.3-Flash | 1.05M | Open | 42 | $0.30 | 144 | 0.81 | 18.22 | 13.93 | |||
DeepSeek V4.1 Flash (max) | 1M | Open | 40 | $2.18 | 307 | 0.64 | 8.79 | 6.52 | |||
DeepSeek V4 Pro 0813 (max) | 1M | Open | 36 | $6.17 | 149 | 1.04 | 17.79 | 13.40 | |||
DeepSeek V4 Flash 0731 (max) | 1.05M | Open | 35 | $0.44 | 304 | 0.54 | 8.77 | 6.59 | |||
GLM-5.2 (max) (FAST) | 524k | Open | 34 | $1.04 | 272 | 2.08 | 11.26 | 7.34 | |||
GLM-5.2 (max) | 1.05M | Open | 34 | $0.65 | 129 | 1.88 | 21.21 | 15.47 | |||
DeepSeek V4 Pro (max) | 1M | Open | 31 | $3.73 | 139 | 0.58 | 35.56 | 31.40 | |||
Kimi K3 (low) | 1M | Open | 30 | $1.87 | 87 | 0.80 | 29.51 | 22.97 | |||
DeepSeek V4 Pro (high) | 1M | Open | 30* | -- | 140 | 0.57 | 18.30 | 14.18 | |||
Kimi K2.6 | 262k | Open | 27 | $0.74 | 165 | 0.60 | 30.53 | 26.90 | |||
Kimi K2.7 Code | 262k | Open | 26 | $0.76 | 225 | 0.48 | 12.64 | 9.93 | |||
Inkling Small | 262k | Open | 26 | $0.12 | 320 | 0.55 | 8.36 | 6.25 | |||
Inkling | 262k | Open | 26 | $0.72 | 119 | 0.80 | 21.80 | 16.80 | |||
Kimi K2.6 (Non-reasoning) | 262k | Open | 24* | -- | -- | -- | -- | -- | |||
GLM-5.2 (Non-reasoning) (FAST) | 524k | Open | 22* | -- | 259 | 1.63 | 3.56 | -- | |||
GLM-5.2 (Non-reasoning) | 1.05M | Open | 22* | -- | 116 | 1.97 | 6.30 | -- | |||
GLM-4.7 | 200k | Open | 22* | -- | 227 | 0.70 | 11.69 | 8.80 | |||
DeepSeek V4 Pro (Non-reasoning) | 1M | Open | 21* | -- | 133 | 0.60 | 4.35 | -- | |||
GLM-4.7 (Non-reasoning) | 200k | Open | 17* | -- | 221 | 0.68 | 2.94 | -- | |||
gpt-oss-120b (high) | 128k | Open | 12 | $0.07 | 262 | 0.25 | 9.79 | 7.63 | |||
gpt-oss-120b (low) | 128k | Open | 10* | -- | 273 | 0.23 | 9.40 | 7.34 | |||
Key definitions
Frequently Asked Questions
Common questions about Baseten
Baseten offers 23 models that we track: GLM-5.3 (max), GLM-5.3 (max) (FAST), Kimi K3 (max), GLM-5.3-Flash, DeepSeek V4.1 Flash (max), DeepSeek V4 Pro 0813 (max), DeepSeek V4 Flash 0731 (max), GLM-5.2 (max) (FAST), GLM-5.2 (max), DeepSeek V4 Pro (max), Kimi K3 (low), DeepSeek V4 Pro (high), Kimi K2.6, Kimi K2.7 Code, Inkling Small, Inkling, GLM-5.2 (Non-reasoning) (FAST), GLM-5.2 (Non-reasoning), GLM-4.7, DeepSeek V4 Pro (Non-reasoning), GLM-4.7 (Non-reasoning), gpt-oss-120b (high), and gpt-oss-120b (low).
The most intelligent model available on Baseten is GLM-5.3 (max) with an Intelligence Index score of 45.
The fastest model on Baseten by output speed is Inkling Small at 319.9 tokens per second.
The model with the lowest time to first answer token on Baseten is DeepSeek V4 Pro (Non-reasoning) at 0.61s. Lower latency means faster initial response time.
The most affordable model on Baseten by blended price is DeepSeek V4 Flash 0731 (max) at $0.07 per 1M tokens (7:2:1 cache hit/input/output ratio).
Prices on Baseten vary up to 32x across models, from $0.07 per 1M tokens for DeepSeek V4 Flash 0731 (max) to $2.31 per 1M tokens for Kimi K3 (low).
Yes, Baseten offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.
Yes, all 23 models on Baseten support JSON mode for structured output.
Yes, all 23 models on Baseten support function calling (tool use).
Yes, Baseten offers 19 reasoning models: GLM-5.3 (max), GLM-5.3 (max) (FAST), Kimi K3 (max), GLM-5.3-Flash, DeepSeek V4.1 Flash (max), DeepSeek V4 Pro 0813 (max), DeepSeek V4 Flash 0731 (max), GLM-5.2 (max) (FAST), GLM-5.2 (max), DeepSeek V4 Pro (max), Kimi K3 (low), DeepSeek V4 Pro (high), Kimi K2.6, Kimi K2.7 Code, Inkling Small, Inkling, GLM-4.7, gpt-oss-120b (high), and gpt-oss-120b (low). Reasoning models use extended thinking to work through complex problems before providing an answer.
Yes, all 23 models on Baseten 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 Baseten, 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.