vs
Fireworks AI vs Cohere
Fireworks sells fast serving and reinforcement fine-tuning across 400+ open models. Cohere sells a vertically owned retrieval and generation stack for private enterprise deployments.
By The Subconscious Team · Updated
Fireworks AI vs Cohere: key differences
Fireworks competes on speed and post-training. Third-party measurements put it at 167 to 174 tokens per second on DeepSeek V4 Pro, with the full 1M context that cheaper hosts truncate. Its catalog holds 400+ models, and it offers SFT, DPO and reinforcement fine-tuning, with fine-tunes served at base-model prices and a Training API for custom RL loops. Cohere's catalog is its own: Command A with 256K context at $2.50 in and $10 out, Command A+ with 128K under Apache 2.0, and specialty models like Aya and North Mini Code. Cohere claims 375 tokens per second on Command A+ in 4-bit form, a vendor figure on a different model.
Cohere's advantage is where the models run. It supports private VPC and on-prem deployment with fine-tuning inside the customer network, while Fireworks runs serverless and dedicated GPUs on its own cloud with SOC 2, HIPAA and ISO certifications and AWS and GCP marketplace billing. Cohere also sells Embed 4 and Rerank 4, which can feed a Fireworks-hosted generator. For latency-sensitive agents or teams training an open model to beat a closed API, Fireworks fits. For enterprises whose data cannot leave their network, Cohere is the more direct route.
What Fireworks AI and Cohere do
Fireworks 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 profileCohere
Cohere is a Toronto-based lab that sells models and platforms to banks, governments and large enterprises rather than consumers. Its generative line is the Command family. Command A+, released May 20, 2026, is a 218B-parameter mixture-of-experts model with 25B active, published under Apache 2.0 with a 128K context window, and it combines reasoning, vision, translation and tool use in one set of weights. Command A has a 256K window and lists at $2.50 in and $10 out per million tokens, while Command R7B costs $0.0375 in. June 2026 added North Mini Code, a 30B Apache 2.0 coding model, and the lineup also includes Aya multilingual models and Transcribe for speech.
Example models: Command A+, Command A, Embed 4, Rerank 4
Full Cohere profileShould you choose Fireworks AI or Cohere?
Fireworks AI
Choose Fireworks AI for
- Fast tool-calling agents on DeepSeek V4 Pro
- Reinforcement fine-tuning with no serving markup
- Full 1M context on large open models
Cohere
Choose Cohere for
- Generation and retrieval fully on-prem
- Reranking up to 100 documents per search
- Multilingual work on Aya models
Fireworks AI vs Cohere at a glance
| Attribute | Fireworks AI | Cohere |
|---|---|---|
| Model access | Open weights | Closed, plus open Command A+ |
| Flagship models | DeepSeek V4 Pro, Kimi K3 | Command A+, Command A, Embed 4, Rerank 4 |
| Speed | 167–174 tok/s on DeepSeek V4 Pro | 375 tok/s on Command A+ W4A4, per Cohere |
| Price | Fine-tunes served at base price | $0.0375–$2.50 in, $0.15–$10 out per 1M |
| Customization | SFT, DPO, RFT; Training API | Enterprise fine-tuning, incl. private |
| Deployment | Serverless, dedicated GPUs | API, Bedrock, Azure, OCI, VPC, on-prem |
| Long context | Full 1M on DeepSeek V4 Pro | 256K on Command A; 128K on A+ |
Frequently asked questions
What is the difference between Fireworks AI and Cohere?
Fireworks sells fast serving and reinforcement fine-tuning across 400+ open models. Cohere sells a vertically owned retrieval and generation stack for private enterprise deployments.
When should I choose Fireworks AI over Cohere?
Fast tool-calling agents on DeepSeek V4 Pro; Reinforcement fine-tuning with no serving markup; Full 1M context on large open models.
When should I choose Cohere over Fireworks AI?
Generation and retrieval fully on-prem; Reranking up to 100 documents per search; Multilingual work on Aya models.
Is Fireworks AI or Cohere cheaper?
Fireworks AI: Fine-tunes served at base price. Cohere: $0.0375–$2.50 in, $0.15–$10 out per 1M. The cheaper choice depends on the model and workload.
Which has more context, Fireworks AI or Cohere?
Fireworks AI: Full 1M on DeepSeek V4 Pro. Cohere: 256K on Command A; 128K on A+.
Related comparisons
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.