← Hosted open-weight model inference
Fireworks AI vs Chutes for Hosted open-weight model inference (Oct 2026)
Depot Pick for this job: Fireworks AI. Chutes is the provider with the cheapest sourced SKU in this job's unit. Both have a sourced price in usd_per_million_input_tokens, so this comparison is like for like on price. Prices are each provider's lowest sourced SKU in that unit only (no blending across units, input/output or context tiers), not quality-adjusted.
| Fireworks AI (Depot Pick) | Chutes | |
|---|---|---|
| Job-weighted overall | 8.35 | 7.29 |
| Capability fit | 8.6 | 7.4 |
| Price / performance | 8.8 | 9.2 |
| Latency / reliability | 8.4 | 6.8 |
| Developer & agent DX | 9 | 7.6 |
| Privacy / data retention | 7.5 | 5.8 |
| Lock-in risk (higher = worse) | 3.5 | 4 |
| Maturity / track record | 8 | 6.2 |
| Lowest sourced SKU (usd_per_million_input_tokens) | $0.15 (Fireworks Serverless: GLM 5.3 Flash Input ($0.15 / 1M input tokens) · usd_per_million_input_tokens) source · as of 2026-10-28 | $0.039 (Qwen3.8-27B (Qwen/Qwen3.8-27B-TEE) · usd_per_million_input_tokens) source · as of 2026-10-27 |
| Free option for this job | none listed | none listed |
| Score kind / confidence | curated_estimate / high | curated_estimate / high |
When not to use Fireworks AI
Need Hub-native custom model endpoints (HF) or ultra-low latency on narrow SKUs (Groq).
Lock-in
Stored lock-in risk (0–10, higher = more lock-in): Fireworks AI 3.5, Chutes 4. Self-host fallback for this job: Qwen3-0.6B-Base, DeepSeek-V3.2 weights, Gemma models under the Gemma Terms of Use.
Agents: GET /api/compare?providers=fireworks,chutes&jtbd=open-model-inference · full job page · methodology