gpt-oss-120b (Fireworks) vs DeepSeek V4-Flash (Fireworks)
Detailed pricing comparison and cost analysis.
Updated August 2026
Cost Simulator
| Feature | gpt-oss-120b (Fireworks) | DeepSeek V4-Flash (Fireworks) |
|---|---|---|
| Provider | Fireworks AI | Fireworks AI |
| Input Price (1M) | $0.15 | $0.14 |
| Output Price (1M) | $0.60 | $0.28 |
| Context Window | 128,000 | 1,000,000 |
Verdict
gpt-oss-120b (Fireworks) costs $0.15 per 1M input tokens and $0.60 per 1M output tokens. DeepSeek V4-Flash (Fireworks) costs $0.14 per 1M input tokens and $0.28 per 1M output tokens. DeepSeek V4-Flash (Fireworks) is 7% cheaper on input tokens than gpt-oss-120b (Fireworks). For output tokens, DeepSeek V4-Flash (Fireworks) is the more affordable option at $0.28/1M vs $0.60.
On context window, DeepSeek V4-Flash (Fireworks) supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose gpt-oss-120b (Fireworks)
- ✓ You are already integrated with Fireworks AI
When to choose DeepSeek V4-Flash (Fireworks)
- ✓ You need the lowest input token cost ($ 0.14/1M)
- ✓ Your workload is output-heavy — DeepSeek V4-Flash (Fireworks) generates text cheaper
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with Fireworks AI
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is gpt-oss-120b (Fireworks) cheaper than DeepSeek V4-Flash (Fireworks)? ▼
DeepSeek V4-Flash (Fireworks) is cheaper on input tokens at $0.14/1M vs $0.15/1M for gpt-oss-120b (Fireworks) — a 7% saving.
What is the context window of gpt-oss-120b (Fireworks) vs DeepSeek V4-Flash (Fireworks)? ▼
gpt-oss-120b (Fireworks) has a 128,000-token context window. DeepSeek V4-Flash (Fireworks) has a 1,000,000-token context window. DeepSeek V4-Flash (Fireworks) supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: gpt-oss-120b (Fireworks) or DeepSeek V4-Flash (Fireworks)? ▼
The best choice depends on your use case. For cost efficiency on input tokens, DeepSeek V4-Flash (Fireworks) is the cheaper option. For maximum context length, DeepSeek V4-Flash (Fireworks) supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.