Qwen3.7-Plus (Fireworks) vs gpt-oss-120b (Fireworks)

Detailed pricing comparison and cost analysis.

Updated August 2026

Cost Simulator

Qwen3.7-Plus (Fireworks) Cost
$0.72
gpt-oss-120b (Fireworks) Cost
$0.27
gpt-oss-120b (Fireworks) is 63% cheaper
FeatureQwen3.7-Plus (Fireworks)gpt-oss-120b (Fireworks)
ProviderFireworks AIFireworks AI
Input Price (1M)$0.40$0.15
Output Price (1M)$1.60$0.60
Context Window1,000,000128,000

Verdict

Qwen3.7-Plus (Fireworks) costs $0.40 per 1M input tokens and $1.60 per 1M output tokens. gpt-oss-120b (Fireworks) costs $0.15 per 1M input tokens and $0.60 per 1M output tokens. gpt-oss-120b (Fireworks) is 63% cheaper on input tokens than Qwen3.7-Plus (Fireworks). For output tokens, gpt-oss-120b (Fireworks) is the more affordable option at $0.60/1M vs $1.60.

On context window, Qwen3.7-Plus (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 Qwen3.7-Plus (Fireworks)

  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Fireworks AI

When to choose gpt-oss-120b (Fireworks)

  • ✓ You need the lowest input token cost ($ 0.15/1M)
  • ✓ Your workload is output-heavy — gpt-oss-120b (Fireworks) generates text cheaper
  • ✓ 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 Qwen3.7-Plus (Fireworks) cheaper than gpt-oss-120b (Fireworks)?

gpt-oss-120b (Fireworks) is cheaper on input tokens at $0.15/1M vs $0.40/1M for Qwen3.7-Plus (Fireworks) — a 63% saving.

What is the context window of Qwen3.7-Plus (Fireworks) vs gpt-oss-120b (Fireworks)?

Qwen3.7-Plus (Fireworks) has a 1,000,000-token context window. gpt-oss-120b (Fireworks) has a 128,000-token context window. Qwen3.7-Plus (Fireworks) supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Qwen3.7-Plus (Fireworks) or gpt-oss-120b (Fireworks)?

The best choice depends on your use case. For cost efficiency on input tokens, gpt-oss-120b (Fireworks) is the cheaper option. For maximum context length, Qwen3.7-Plus (Fireworks) supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.