Gemma 4 31B is $2.88 cheaper per 1M input tokens (96% lower; 25x difference).
API cost decision in 10 seconds
🔥Claude Sonnet 4.6 vs 🔥Gemma 4 31B
Pick Gemma 4 31B for lower cost; pick Claude Sonnet 4.6 only if the larger context window matters more.
Budget verdict
Pick Gemma 4 31B for lower cost; pick Claude Sonnet 4.6 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 $10.5 for Claude Sonnet 4.6, saving $10.2 (97.1% lower).
Claude Sonnet 4.6 has more context, but Gemma 4 31B saves $10.2 on the standard workload. At 10x that traffic, the same price gap is about $101.95. Use the calculator below to replace the sample workload with your own token volume.
Gemma 4 31B is $14.63 cheaper per 1M output tokens (97.5% lower; 40.5x difference).
Claude Sonnet 4.6 has 737.86K more context (3.81x larger).
Gemma 4 31B is $10.2 cheaper on the standard workload (97.1% 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; Claude Sonnet 4.6 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 $10.5 for Claude Sonnet 4.6 and $0.3 for Gemma 4 31B.
Choose Claude Sonnet 4.6 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 $10.5 for Claude Sonnet 4.6, saving $10.2 (97.1% lower).
- Gemma 4 31B is $10.2 cheaper on the standard workload (97.1% lower).
- Gemma 4 31B is $2.88 cheaper per 1M input tokens (96% lower; 25x difference).
- Gemma 4 31B is $14.63 cheaper per 1M output tokens (97.5% lower; 40.5x difference).
- Claude Sonnet 4.6 has 737.86K more context (3.81x larger).
| Feature | 🔥Claude Sonnet 4.6 (Anthropic) | 🔥Gemma 4 31B (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $3 | $0.12 |
| Completion Price per 1M tokens | $15 | $0.37 |
| Sample Workload Cost 1M input + 500K output | $10.5 | $0.3 |
| Context Window | 1M | 262.14K |
| Release Date | ||
| Popularity Rank current rank | #3 | #18 |
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 $10.5 for Claude Sonnet 4.6, saving $10.2 (97.1% 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 | Claude Sonnet 4.6 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Claude 3 Haiku can replace Claude Sonnet 4.6 when lower sample workload cost matters most: $0.88.
- Claude 3.5 Haiku can replace Claude Sonnet 4.6 when lower sample workload cost matters most: $2.8.
- Anthropic Claude Haiku Latest can replace Claude Sonnet 4.6 when lower sample workload cost matters most: $3.5.
- Claude Haiku 4.5 can replace Claude Sonnet 4.6 when lower sample workload cost matters most: $3.5.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Owl Alpha · OpenRouter · #4
- DeepSeek V3.2 · DeepSeek · #5
Cheaper alternatives
Review low-cost models ranked 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 hubsAnthropic catalog
Review all tracked Anthropic models before deciding whether this matchup is the right shortlist.
Open Anthropic modelsGoogle catalog
Check other Google models with comparable pricing, context, or release timing.
Open Google modelsSonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...
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...