gpt-oss-120b is $0.56 cheaper per 1M input tokens (93.5% lower; 15.4x difference).
API cost decision in 10 seconds
🔥gpt-oss-120b vs Kimi K2 Thinking
Pick gpt-oss-120b for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick gpt-oss-120b for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.
On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $1.85 for Kimi K2 Thinking, saving $1.72 (93% lower).
Cost-first pickgpt-oss-120b
Context-first pickKimi K2 Thinking
Sample savings$1.7293%
10x traffic gap$17.21
Kimi K2 Thinking has more context, but gpt-oss-120b saves $1.72 on the standard workload. At 10x that traffic, the same price gap is about $17.21. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
gpt-oss-120b stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | gpt-oss-120b | Kimi K2 Thinking |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | gpt-oss-120b | $0.29 | $4.25 |
| Balanced workload | 1M input + 1M output | gpt-oss-120b | $0.22 | $3.1 |
| Output-heavy chatbot | 1M input + 5M output | gpt-oss-120b | $0.94 | $13.1 |
gpt-oss-120b is $2.32 cheaper per 1M output tokens (92.8% lower; 13.9x difference).
Kimi K2 Thinking has 131.07K more context (2x larger).
gpt-oss-120b is $1.72 cheaper on the standard workload (93% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
gpt-oss-120b has the lower input price; gpt-oss-120b has the lower output price; Kimi K2 Thinking offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-120b is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.13 for gpt-oss-120b and $1.85 for Kimi K2 Thinking.
Choose gpt-oss-120b when you care most about lower input-token price, and lower output-token price.
Choose Kimi K2 Thinking when you care most about larger context window.
- On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $1.85 for Kimi K2 Thinking, saving $1.72 (93% lower).
- gpt-oss-120b is $1.72 cheaper on the standard workload (93% lower).
- gpt-oss-120b is $0.56 cheaper per 1M input tokens (93.5% lower; 15.4x difference).
- gpt-oss-120b is $2.32 cheaper per 1M output tokens (92.8% lower; 13.9x difference).
- Kimi K2 Thinking has 131.07K more context (2x larger).
| Feature | 🔥gpt-oss-120b (OpenAI) | Kimi K2 Thinking (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.039 | $0.6 |
| Completion Price per 1M tokens | $0.18 | $2.5 |
| Sample Workload Cost 1M input + 500K output | $0.13 | $1.85 |
| Context Window | 131.07K | 262.14K |
| Release Date | ||
| Popularity | #20 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | gpt-oss-120b | On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $1.85 for Kimi K2 Thinking, saving $1.72 (93% lower). |
| High-volume input processing | gpt-oss-120b | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | gpt-oss-120b | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2 Thinking | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace gpt-oss-120b when lower sample workload cost matters most: $0.1.
- Kimi K2.5 can replace Kimi K2 Thinking when lower sample workload cost matters most: $1.35.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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Open MoonshotAI modelsgpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...