Overall in llm apis
11of 18 · score 61.7
Data coverage
70%
19 of 27 fields sourced
Best for
- •Running DeepSeek or Kimi weights under a Western contract
- •Steady high-volume load that justifies a dedicated GPU endpoint
- •Fine-tuning open-weight models without owning hardware
Strong on
- +Zero retention Yes 1/18
Weak on
- −Notice period 14 days 6/7Better: Anthropic: 180 days
- −Effort control No 12/18Better: Anthropic: Yes
- −Tool use Partial 13/18Better: Anthropic: Yes
vs Cerebras
- •Ahead on Image input: Partial vs No
- •Ahead on Audio in/out: Partial vs No
How Together AI scores among 18 llm apis19 of 27 fields known
Capability7
Flagship model
Open-weight catalogue, DeepSeek-V3.x, Kimi K2, Qwen3, Llama 4
docs.together.ai · 2026-01-15
Context window
—
Max output
—
Image input
Partial
10/18
Leader: Anthropic · Yes
· 2026-01-15
Audio in/out1st
Partial
1/18
· 2026-01-15
Open weights1st
Yes
1/18
· 2026-01-15
Performance2
TTFT p50
—
Output tok/s
—
Pricing4
$/M input
—
$/M output
—
$/M cache read
—
Batch discount1st
50%
1/14
· 2026-01-15
Agentic6
Tool use
Partial
13/18
Leader: Anthropic · Yes
· 2026-01-15
Schema output1st
Yes
1/18
· 2026-01-15
Effort control
No
12/18
Leader: Anthropic · Yes
· 2026-01-15
Computer use
No
5/18
Leader: Anthropic · Yes
· 2026-01-15
MCP support
No
6/18
Leader: Anthropic · Yes
· 2026-01-15
Cache TTL
—
Governance & continuity6
Continuity policy
Serverless models are rotated off when demand drops, typically with a deprecations page and short notice measured in weeks. Because everything served is open-weight, the mitigation is always available: move to a dedicated endpoint on the same platform, to another host, or onto your own GPUs with the same checkpoint.
· 2026-01-15
Pinnable versions1st
Yes
1/18
· 2026-01-15
Trains on your data
No
7/18
Leader: DeepSeek · Yes
· 2026-01-15
AU region
No
9/18
Leader: Google Gemini · Yes
· 2026-01-15
Traction1
API since3rd
2023
3/18
Leader: OpenAI · 2020
Positioning1
Positioning
Open-weight models with a Western contract and dedicated capacity