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Anthropic vs Fireworks AI
Fireworks sells fast open-model inference and reinforcement fine-tuning; Anthropic sells closed Claude models tuned for agentic coding. Speed and custom training versus frontier coding quality.
By The Subconscious Team · Updated
Anthropic vs Fireworks AI: key differences
Fireworks is built around throughput on open weights. Third-party measurements put it at 167 to 174 tokens per second on DeepSeek V4 Pro, and it keeps that model's full 1M context where cheaper hosts truncate it. Anthropic points the other way on speed: Fable 5.1 always thinks, so output tokens per task run high and latency is the slowest in its lineup. What Anthropic offers instead is Claude's record on real-world coding benchmarks and long unattended runs that check their own progress. Both cover 1M context, but only Fireworks lets you change the model itself, through SFT, DPO or reinforcement fine-tuning, with fine-tunes served at the base model's per-token price.
The verdict follows the workload. Latency-sensitive chat and tool-calling agents, or a narrow task where an RL-tuned open model can beat a closed API, belong on Fireworks, which also carries SOC 2, HIPAA and ISO certifications and AWS and GCP marketplace billing. Hard coding and review work where quality per step matters more than seconds fits Claude. Note that Fireworks raised dedicated GPU rates on September 1, 2026, with an H100 now $8 an hour.
What Anthropic and Fireworks AI do
Anthropic
Anthropic sells the Claude family of closed models through its own API, Amazon Bedrock, Google Vertex AI and Microsoft Foundry. The public lineup today runs from Claude Fable 5.1 at the top, released September 1, 2026, through the Opus and Sonnet tiers down to Haiku 4.5. List prices span a tenfold range, from $10 in and $50 out on Fable to $1 in and $5 out on Haiku. The top three tiers include a 1M token context window at standard pricing with no surcharge past 200K.
Example models: Claude Fable 5.1, Claude Haiku 4.5
Full Anthropic profileFireworks AI
Fireworks AI was founded in 2022 by former Meta PyTorch engineers led by CEO Lin Qiao, and it sells speed on open models. Its custom serving stack has posted 167 to 174 tokens per second on DeepSeek V4 Pro in third-party measurements, several times what most GPU peers hit on the same model. The catalog holds 400+ models across text, vision, audio and embeddings, served through an OpenAI-compatible API. In July 2026 it raised a $1.505B Series D at a $17.5B valuation, with a reported $1B+ run rate and 40T+ tokens a day.
Example models: DeepSeek V4 Pro, Kimi K3
Full Fireworks AI profileShould you choose Anthropic or Fireworks AI?
Anthropic
Choose Anthropic for
- Complex coding tasks where Claude's benchmark lead matters
- Unattended agent runs that self-check progress
- Teams that want a managed frontier model with no tuning work
Fireworks AI
Choose Fireworks AI for
- Fast tool-calling agents on DeepSeek V4 Pro or Kimi K3
- Reinforcement fine-tuning an open model for a narrow task
- Compliance-bound buyers needing SOC 2, HIPAA or ISO on open weights
Anthropic vs Fireworks AI at a glance
| Attribute | Anthropic | Fireworks AI |
|---|---|---|
| Model access | Closed | Open weights |
| Flagship models | Claude Fable 5.1, Opus, Sonnet, Haiku 4.5 | DeepSeek V4 Pro, Kimi K3 |
| Speed | Fable is the slowest tier | 167–174 tok/s on DeepSeek V4 Pro |
| Price | $1–$10 in, $5–$50 out per 1M | Fine-tunes served at base price |
| Customization | N/A | SFT, DPO, RFT; Training API |
| Deployment | API, Bedrock, Vertex AI, Microsoft Foundry | Serverless, dedicated GPUs |
| Long context | 1M, no surcharge past 200K | Full 1M on DeepSeek V4 Pro |
Frequently asked questions
What is the difference between Anthropic and Fireworks AI?
Fireworks sells fast open-model inference and reinforcement fine-tuning; Anthropic sells closed Claude models tuned for agentic coding. Speed and custom training versus frontier coding quality.
When should I choose Anthropic over Fireworks AI?
Complex coding tasks where Claude's benchmark lead matters; Unattended agent runs that self-check progress; Teams that want a managed frontier model with no tuning work.
When should I choose Fireworks AI over Anthropic?
Fast tool-calling agents on DeepSeek V4 Pro or Kimi K3; Reinforcement fine-tuning an open model for a narrow task; Compliance-bound buyers needing SOC 2, HIPAA or ISO on open weights.
Is Anthropic or Fireworks AI cheaper?
Anthropic: $1–$10 in, $5–$50 out per 1M. Fireworks AI: Fine-tunes served at base price. The cheaper choice depends on the model and workload.
Which has more context, Anthropic or Fireworks AI?
Anthropic: 1M, no surcharge past 200K. Fireworks AI: Full 1M on DeepSeek V4 Pro.
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Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.