Fireworks AI logo

Fireworks AI

Fast open-weight inference with strong structured-output support

Overall in llm apis
6of 18 · score 66.2
Data coverage
85%
23 of 27 fields sourced

Best for

  • •Open-weight workloads where output must validate against a schema every time
  • •Latency-sensitive serving without moving to custom silicon
  • •Fine-tuned open models served on managed infrastructure

Strong on

  • +Zero retention Yes 1/18
  • +$/M output $0.05/M tok 1/13
  • +$/M input $0.1/M tok 2/13
  • +$/M cache read $0.05/M tok 2/12

Weak on

  • −Notice period 14 days 6/7
    Better: Anthropic: 180 days
  • −Effort control No 12/18
    Better: Anthropic: Yes
  • −Tool use Partial 13/18
    Better: Anthropic: Yes

vs Groq

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

How Fireworks AI scores among 18 llm apis23 of 27 fields known

Capability7

Flagship model
Open-weight catalogue, DeepSeek, Kimi K2, Qwen3, Llama 4
docs.fireworks.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
OpenAI-compat API1st
Yes
1/18
docs.fireworks.ai · 2026-01-15

Performance2

TTFT p50
—
Output tok/s
—

Pricing4

$/M input2nd
$0.1/M tok
2/13
Leader: Groq · $0.05/M tok
fireworks.ai · 2026-11-07
$/M output1st
$0.05/M tok
1/13
fireworks.ai · 2026-11-07
$/M cache read2nd
$0.05/M tok
2/12
Leader: DeepSeek · $0.0028/M tok
fireworks.ai · 2026-11-07
Batch discount1st
50%
1/14
docs.fireworks.ai · 2026-11-07

Agentic6

Tool use
Partial
13/18
Leader: Anthropic · Yes
· 2026-01-15
Schema output1st
Yes
1/18
docs.fireworks.ai · 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; cached prompts stay at least several minutes, up to several hours depending on model and load; oldest evicted first
docs.fireworks.ai · 2026-11-07

Governance & continuity6

Continuity policy
Same shape as Together: a published deprecations list, serverless models retired on weeks of notice when demand falls, and dedicated deployments as the stable option. Open weights throughout mean no retirement is terminal, only inconvenient.
· 2026-01-15
Notice period
14 days
6/7
Leader: Anthropic · 180 days
docs.fireworks.ai · 2026-11-07
Pinnable versions1st
Yes
1/18
· 2026-01-15
Zero retention1st
Yes
1/18
docs.fireworks.ai · 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 since3rd
2023
3/18
Leader: OpenAI · 2020

Positioning1

Positioning
Low-latency open-weight inference with strict structured output