Qwen2.5 7B Instruct is $1.71 cheaper per 1M input tokens (97.7% lower; 43.8x difference).
API cost decision in 10 seconds
GPT-5.3-Codex vs Qwen2.5 7B Instruct
Pick Qwen2.5 7B Instruct for lower cost; pick GPT-5.3-Codex only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen2.5 7B Instruct for lower cost; pick GPT-5.3-Codex only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen2.5 7B Instruct is estimated at $0.09 vs $8.75 for GPT-5.3-Codex, saving $8.66 (99% lower).
Cost-first pickQwen2.5 7B Instruct
Context-first pickGPT-5.3-Codex
Sample savings$8.6699%
10x traffic gap$86.6
GPT-5.3-Codex has more context, but Qwen2.5 7B Instruct saves $8.66 on the standard workload. At 10x that traffic, the same price gap is about $86.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen2.5 7B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.3-Codex | Qwen2.5 7B Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen2.5 7B Instruct | $15.75 | $0.25 |
| Balanced workload | 1M input + 1M output | Qwen2.5 7B Instruct | $15.75 | $0.14 |
| Output-heavy chatbot | 1M input + 5M output | Qwen2.5 7B Instruct | $71.75 | $0.54 |
Qwen2.5 7B Instruct is $13.9 cheaper per 1M output tokens (99.3% lower; 140x difference).
GPT-5.3-Codex has 268.93K more context (3.05x larger).
Qwen2.5 7B Instruct is $8.66 cheaper on the standard workload (99% 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
Qwen2.5 7B Instruct has the lower input price; Qwen2.5 7B Instruct has the lower output price; GPT-5.3-Codex offers the larger context window. For the 1M input plus 500K output sample, Qwen2.5 7B Instruct is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8.75 for GPT-5.3-Codex and $0.09 for Qwen2.5 7B Instruct.
Choose GPT-5.3-Codex when you care most about larger context window.
Choose Qwen2.5 7B Instruct when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen2.5 7B Instruct is estimated at $0.09 vs $8.75 for GPT-5.3-Codex, saving $8.66 (99% lower).
- Qwen2.5 7B Instruct is $8.66 cheaper on the standard workload (99% lower).
- Qwen2.5 7B Instruct is $1.71 cheaper per 1M input tokens (97.7% lower; 43.8x difference).
- Qwen2.5 7B Instruct is $13.9 cheaper per 1M output tokens (99.3% lower; 140x difference).
- GPT-5.3-Codex has 268.93K more context (3.05x larger).
| Feature | GPT-5.3-Codex (OpenAI) | Qwen2.5 7B Instruct (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.75 | $0.04 |
| Completion Price per 1M tokens | $14 | $0.1 |
| Sample Workload Cost 1M input + 500K output | $8.75 | $0.09 |
| Context Window | 400K | 131.07K |
| Release Date | ||
| Popularity | #44 | #134 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen2.5 7B Instruct | On the standard 1M input plus 500K output workload, Qwen2.5 7B Instruct is estimated at $0.09 vs $8.75 for GPT-5.3-Codex, saving $8.66 (99% lower). |
| High-volume input processing | Qwen2.5 7B Instruct | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen2.5 7B Instruct | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.3-Codex | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
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- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
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