Qwen3 8B is $0.41 cheaper per 1M input tokens (89% lower; 9.1x difference).
API cost decision in 10 seconds
Qwen3 8B vs Qwen3 235B A22B
Pick Qwen3 8B when budget is the priority.
Budget verdict
Pick Qwen3 8B when budget is the priority.
On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $1.36 for Qwen3 235B A22B, saving $1.11 (81.7% lower).
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $11.15. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 8B | Qwen3 235B A22B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 8B | $0.45 | $3.19 |
| Balanced workload | 1M input + 1M output | Qwen3 8B | $0.45 | $2.27 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 8B | $2.05 | $9.55 |
Qwen3 8B is $1.42 cheaper per 1M output tokens (78% lower; 4.55x difference).
Both models report the same context window at 131.07K tokens.
Qwen3 8B is $1.11 cheaper on the standard workload (81.7% 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
Qwen3 8B has the lower input price; Qwen3 8B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3 8B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.25 for Qwen3 8B and $1.36 for Qwen3 235B A22B.
Choose Qwen3 8B when you care most about lower input-token price, and lower output-token price.
Choose Qwen3 235B A22B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $1.36 for Qwen3 235B A22B, saving $1.11 (81.7% lower).
- Qwen3 8B is $1.11 cheaper on the standard workload (81.7% lower).
- Qwen3 8B is $0.41 cheaper per 1M input tokens (89% lower; 9.1x difference).
- Qwen3 8B is $1.42 cheaper per 1M output tokens (78% lower; 4.55x difference).
- Both models report the same context window at 131.07K tokens.
| Feature | Qwen3 8B (Qwen) | Qwen3 235B A22B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.455 |
| Completion Price per 1M tokens | $0.4 | $1.82 |
| Sample Workload Cost 1M input + 500K output | $0.25 | $1.36 |
| Context Window | 131.07K | 131.07K |
| Release Date | ||
| Popularity | #102 | #131 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 8B | On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $1.36 for Qwen3 235B A22B, saving $1.11 (81.7% lower). |
| High-volume input processing | Qwen3 8B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 8B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 8B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 8B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 8B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 8B when lower sample workload cost matters most: $0.11.
- 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
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
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Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsQwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...