Gemma 4 31B is $0.07 cheaper per 1M input tokens (36% lower; 1.56x difference).
API cost decision in 10 seconds
Qwen3.6 Flash vs Gemma 4 31B
Pick Gemma 4 31B for lower cost; pick Qwen3.6 Flash only if the larger context window matters more.
Budget verdict
Pick Gemma 4 31B for lower cost; pick Qwen3.6 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.75 for Qwen3.6 Flash, saving $0.45 (59.3% lower).
Qwen3.6 Flash has more context, but Gemma 4 31B saves $0.45 on the standard workload. At 10x that traffic, the same price gap is about $4.45. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Gemma 4 31B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.6 Flash | Gemma 4 31B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Gemma 4 31B | $1.5 | $0.78 |
| Balanced workload | 1M input + 1M output | Gemma 4 31B | $1.31 | $0.49 |
| Output-heavy chatbot | 1M input + 5M output | Gemma 4 31B | $5.81 | $1.97 |
Gemma 4 31B is $0.76 cheaper per 1M output tokens (67.1% lower; 3.04x difference).
Qwen3.6 Flash has 737.86K more context (3.81x larger).
Gemma 4 31B is $0.45 cheaper on the standard workload (59.3% 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
Gemma 4 31B has the lower input price; Gemma 4 31B has the lower output price; Qwen3.6 Flash offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 31B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.75 for Qwen3.6 Flash and $0.3 for Gemma 4 31B.
Choose Qwen3.6 Flash when you care most about larger context window.
Choose Gemma 4 31B when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.75 for Qwen3.6 Flash, saving $0.45 (59.3% lower).
- Gemma 4 31B is $0.45 cheaper on the standard workload (59.3% lower).
- Gemma 4 31B is $0.07 cheaper per 1M input tokens (36% lower; 1.56x difference).
- Gemma 4 31B is $0.76 cheaper per 1M output tokens (67.1% lower; 3.04x difference).
- Qwen3.6 Flash has 737.86K more context (3.81x larger).
| Feature | Qwen3.6 Flash (Qwen) | Gemma 4 31B (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1875 | $0.12 |
| Completion Price per 1M tokens | $1.125 | $0.37 |
| Sample Workload Cost 1M input + 500K output | $0.75 | $0.3 |
| Context Window | 1M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Gemma 4 31B | On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.75 for Qwen3.6 Flash, saving $0.45 (59.3% lower). |
| High-volume input processing | Gemma 4 31B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Gemma 4 31B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.6 Flash | 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 Qwen3.6 Flash when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.6 Flash when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.6 Flash when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.6 Flash 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
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsGoogle catalog
Check other Google models with comparable pricing, context, or release timing.
Open Google modelsQwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...