Together AI: Models Intelligence, Performance & Price
This analysis is intended to support you in choosing the best model provided by Together AI for your use-case.
Most Intelligent
GLM-5.3 (max)
Kimi K3 (max)GLM-5.3-Flash
Qwen3.8 2.4T A95B
DeepSeek V4.1 Flash (max)Intelligence Index
Total 16 models
Fastest
DeepSeek V4.1 Flash (max)
Nemotron 3.5 Super VL (NVFP4)GLM-5.2 (max)GLM-5.3-Flash
Muse Spark Open (xhigh)Output speed
Total 16 models
Lowest Price
Nemotron 3.5 Super VL (NVFP4)GLM-5.3-FlashQwen3.5 9B (non-reasoning) (FP8)Qwen3.5 9B (FP8)DeepSeek V4.1 Flash (max)Blended price (per 1M tokens)
Total 16 models
Together AI offers 16 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 Together AI are GLM-5.3 (max) (45), Kimi K3 (max) (44), and GLM-5.3-Flash (42).
- For output speed, the fastest models are DeepSeek V4.1 Flash (max) (277 t/s), Nemotron 3.5 Super VL (NVFP4) (251 t/s), and GLM-5.2 (max) (244 t/s). Speed varies significantly across models, with a 109% difference between the fastest and slowest.
- For latency, Qwen3.5 9B (non-reasoning) (FP8) (0.74s), Llama 3.3 70B Turbo (1.50s), and DeepSeek V4.1 Flash (max) (7.60s) offer the lowest time to first answer token.
- For pricing, Nemotron 3.5 Super VL (NVFP4) ($0.09), GLM-5.3-Flash ($0.10), and Qwen3.5 9B (non-reasoning) (FP8) ($0.18) offer the lowest blended prices per 1M tokens.
- For context window size, Kimi K3 (max) (1M), GLM-5.3-Flash (1M), and DeepSeek V4.1 Flash (max) (1M) support the largest context windows on Together AI.
Intelligence Evaluations
Artificial Analysis Intelligence Index
Evaluations
Agentic knowledge work, (Elo-500)/2000
Knowledge
1 - hallucination rate
Agentic SaaS workflows
Agentic real-world work tasks, (Elo-500)/2000
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Long context reasoning
Coding
Physics reasoning
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Quantitative analysis on spreadsheets & documents
Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Kubernetes incident root-cause analysis
Medical long context reasoning
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
Cache Behaviour
Cache Hit Rate
Cost per Task vs. Cache Hit Rate
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 | $1.97 | 112 | 1.03 | 23.29 | 17.81 | |||
Kimi K3 (max) | 1.05M | Open | 44 | $2.16 | 51 | 1.27 | 50.04 | 39.01 | |||
GLM-5.3-Flash | 1.05M | Open | 42 | $0.47 | 156 | 0.71 | 16.68 | 12.78 | |||
Qwen3.8 2.4T A95B | 262k | Open | 40 | $2.09 | 96 | 1.28 | 27.31 | 20.82 | |||
DeepSeek V4.1 Flash (max) | 1.05M | Open | 39 | $0.32 | 277 | 0.37 | 9.40 | 7.23 | |||
Muse Spark Open (xhigh) | 1.05M | Open | 39 | $0.84 | 130 | 0.58 | 19.86 | 15.42 | |||
GLM-5.2 (max) | 262k | Open | 34 | $0.88 | 244 | 0.64 | 10.90 | 8.20 | |||
 MiniMax-M3 | 1M | Open | 29 | $0.58 | 98 | 0.59 | 26.11 | 20.41 | |||
Nemotron 3.5 Super VL (NVFP4) | 262k | Open | 26 | $0.26 | 221 | 0.63 | 11.92 | 9.03 | |||
 Inkling (xhigh) | 524k | Open | 25 | $0.91 | 111 | 0.60 | 23.17 | 18.06 | |||
MiniMax-M2.5 (FP4) | 197k | Open | 23* | -- | -- | -- | -- | -- | |||
GLM-4.7 | 203k | Open | 22* | -- | -- | -- | -- | -- | |||
GLM-4.6 | 203k | Open | 19* | -- | -- | -- | -- | -- | |||
Muse Glimmer (high) | 131k | Open | 17 | $0.08 | 95 | 0.86 | 27.09 | 20.98 | |||
GLM-4.7 (non-reasoning) | 203k | Open | 17* | -- | -- | -- | -- | -- | |||
GLM-4.6 (non-reasoning) | 203k | Open | 15* | -- | -- | -- | -- | -- | |||
 Apriel-v1.5-15B-Thinker | 131k | Open | 14* | -- | -- | -- | -- | -- | |||
DeepSeek V3.1 (non-reasoning) | 131k | Open | 14* | -- | -- | -- | -- | -- | |||
Apriel-v1.6-15B-Thinker | 131k | Open | 13* | -- | -- | -- | -- | -- | |||
Qwen3.5 9B (non-reasoning) (FP8) | 262k | Open | 13* | -- | 98 | 0.74 | 5.84 | -- | |||
DeepSeek R1 0528 | 164k | Open | 13* | -- | -- | -- | -- | -- | |||
 gpt-oss-120b (high) | 131k | Open | 12 | $0.11 | 82 | 0.58 | 31.08 | 24.40 | |||
DeepSeek R1 (Jan) | 164k | Open | 11 | $0.41 | -- | -- | -- | -- | |||
Qwen3.5 9B (FP8) | 262k | Open | 11 | $0.27 | 93 | 0.75 | 27.70 | 21.56 | |||
GLM-4.5-Air (FP8) | 131k | Open | 11* | -- | -- | -- | -- | -- | |||
gpt-oss-120b (low) | 131k | Open | 10* | -- | 99 | 0.50 | 25.84 | 20.27 | |||
Llama 4 Maverick | 1.05M | Open | 9 | $0.04 | -- | -- | -- | -- | |||
Qwen3 Coder Next (FP8) | 262k | Open | 9 | $0.78 | -- | -- | -- | -- | |||
Llama 3.3 70B Turbo | 131k | Open | 8* | -- | 78 | 1.57 | 8.01 | -- | |||
 Cogito v2.1 | 164k | Open | -- | -- | -- | -- | -- | -- | |||
Key definitions
Frequently Asked Questions
Common questions about Together AI
Together AI offers 16 models that we track: GLM-5.3 (max), Kimi K3 (max), GLM-5.3-Flash, Qwen3.8 2.4T A95B, DeepSeek V4.1 Flash (max), Muse Spark Open (xhigh), GLM-5.2 (max), MiniMax-M3, Nemotron 3.5 Super VL (NVFP4), Inkling (xhigh), Muse Glimmer (high), Qwen3.5 9B (non-reasoning) (FP8), gpt-oss-120b (high), Qwen3.5 9B (FP8), gpt-oss-120b (low), and Llama 3.3 70B Turbo.
The most intelligent model available on Together AI is GLM-5.3 (max) with an Intelligence Index score of 45.
The fastest model on Together AI by output speed is DeepSeek V4.1 Flash (max) at 276.8 tokens per second.
The model with the lowest time to first answer token on Together AI is Qwen3.5 9B (non-reasoning) (FP8) at 0.74s. Lower latency means faster initial response time.
The most affordable model on Together AI by blended price is Nemotron 3.5 Super VL (NVFP4) at $0.09 per 1M tokens (7:2:1 cache hit/input/output ratio).
Prices on Together AI vary up to 22x across models, from $0.09 per 1M tokens for Nemotron 3.5 Super VL (NVFP4) to $2.08 per 1M tokens for Kimi K3 (max).
Yes, Together AI offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.
15 of 16 models on Together AI support JSON mode for structured output.
Yes, all 16 models on Together AI support function calling (tool use).
Yes, Together AI offers 14 reasoning models: GLM-5.3 (max), Kimi K3 (max), GLM-5.3-Flash, Qwen3.8 2.4T A95B, DeepSeek V4.1 Flash (max), Muse Spark Open (xhigh), GLM-5.2 (max), MiniMax-M3, Nemotron 3.5 Super VL (NVFP4), Inkling (xhigh), Muse Glimmer (high), gpt-oss-120b (high), Qwen3.5 9B (FP8), and gpt-oss-120b (low). Reasoning models use extended thinking to work through complex problems before providing an answer.
Yes, all 16 models on Together AI 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 Together AI, 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.