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Groq

Custom LPU silicon serving open-weight models at extreme speed

Overall in llm apis
16of 18 · score 58
Data coverage
93%
25 of 27 fields sourced

Best for

  • •Voice agents and any interface where perceived latency is the feature
  • •High-volume cheap inference on well-known open-weight models
  • •Fast transcription alongside text generation on one key

Strong on

  • +Zero retention Yes 1/18
  • +$/M input $0.05/M tok 1/13
  • +$/M output $0.08/M tok 2/13

Weak on

  • −Context window 131,072 tokens 12/14
    Better: Anthropic: 1,000,000 tokens
  • −Max output 8,192 tokens 10/10
    Better: xAI: Unlimited
  • −API since 2024 16/18
    Better: OpenAI: 2020
  • −Effort control No 12/18
    Better: Anthropic: Yes

vs Fireworks AI

  • •Ahead on $/M input: $0.05/M tok vs $0.1/M tok
  • •Behind on Schema output: Partial vs Yes
  • •Behind on Pinnable versions: Partial vs Yes

How Groq scores among 18 llm apis25 of 27 fields known

Capability7

Flagship model
Curated open-weight models (Kimi K2, Llama 4, Qwen3, GPT-OSS)
console.groq.com · 2026-01-15
Context window
131,072 tokens
12/14
Leader: Anthropic · 1,000,000 tokens
console.groq.com · 2026-11-07
Max output
8,192 tokens
10/10
Leader: xAI · Unlimited
console.groq.com · 2026-11-07
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
OpenAI-compat API1st
Yes
1/18
console.groq.com · 2026-01-15

Performance2

TTFT p50
250ms
2/2
Leader: Cerebras · 200ms
· 2026-01-15
Output tok/s
400 tok/s
2/2
Leader: Cerebras · 2,000 tok/s
· 2026-01-15

Pricing4

$/M input1st
$0.05/M tok
1/13
console.groq.com · 2026-11-07
$/M output2nd
$0.08/M tok
2/13
Leader: Fireworks AI · $0.05/M tok
console.groq.com · 2026-11-07
$/M cache read
—
Batch discount1st
50%
1/14
console.groq.com · 2026-11-07

Agentic6

Tool use
Partial
13/18
Leader: Anthropic · Yes
· 2026-01-15
Schema output
Partial
11/18
Leader: Anthropic · Yes
· 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
Automatic, no code changes; cached prefixes expire after 2 hours without use
console.groq.com · 2026-11-07

Governance & continuity6

Continuity policy
The weakest continuity of any host here. Models are added and removed from the console on a short cycle as Groq re-allocates LPU capacity, deprecations are announced with weeks rather than months of notice, and there is no dedicated-endpoint escape hatch for a model that gets pulled. Design for substitution: keep two model IDs configured and an eval you can rerun.
· 2026-01-15
Notice period
—
Pinnable versions
Partial
14/18
Leader: OpenAI · Yes
· 2026-01-15
Zero retention1st
Yes
1/18
console.groq.com · 2026-11-07
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 since
2024
16/18
Leader: OpenAI · 2020

Positioning1

Positioning
Custom LPU silicon for open-weight models at very low latency

Groq logo & brand colours

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