CoBuddy (free) is free for input tokens while Gemma 4 31B costs $0.12 per 1M tokens.
API cost decision in 10 seconds
NewCoBuddy (free) vs Gemma 4 31B
Pick CoBuddy (free) for lower cost; pick Gemma 4 31B 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 CoBuddy (free) for lower cost; pick Gemma 4 31B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower).
Cost-first pickCoBuddy (free)
Context-first pickGemma 4 31B
Sample savings$0.3100%
10x traffic gap$3.05
Gemma 4 31B has more context, but CoBuddy (free) saves $0.3 on the standard workload. At 10x that traffic, the same price gap is about $3.05. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
CoBuddy (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | CoBuddy (free) | Gemma 4 31B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | CoBuddy (free) | $0 | $0.78 |
| Balanced workload | 1M input + 1M output | CoBuddy (free) | $0 | $0.49 |
| Output-heavy chatbot | 1M input + 5M output | CoBuddy (free) | $0 | $1.97 |
CoBuddy (free) is free for output tokens while Gemma 4 31B costs $0.37 per 1M tokens.
Gemma 4 31B has 131.07K more context (2x larger).
CoBuddy (free) is free for the standard workload while the other model is estimated at $0.3.
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
CoBuddy (free) has the lower input price; CoBuddy (free) has the lower output price; Gemma 4 31B offers the larger context window. For the 1M input plus 500K output sample, CoBuddy (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for CoBuddy (free) and $0.3 for Gemma 4 31B.
Choose CoBuddy (free) when you care most about lower input-token price, and lower output-token price.
Choose Gemma 4 31B when you care most about larger context window.
- On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower).
- CoBuddy (free) is free for the standard workload while the other model is estimated at $0.3.
- CoBuddy (free) is free for input tokens while Gemma 4 31B costs $0.12 per 1M tokens.
- CoBuddy (free) is free for output tokens while Gemma 4 31B costs $0.37 per 1M tokens.
- Gemma 4 31B has 131.07K more context (2x larger).
| Feature | NewCoBuddy (free) (Baidu Qianfan) | Gemma 4 31B (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.12 |
| Completion Price per 1M tokens | $0 | $0.37 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.3 |
| Context Window | 131.07K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | CoBuddy (free) | On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower). |
| High-volume input processing | CoBuddy (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | CoBuddy (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Gemma 4 31B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Gemma 4 26B A4B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- Lyria 3 Pro Preview can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- Lyria 3 Clip Preview can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- 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.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 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 hubsBaidu Qianfan catalog
Review all tracked Baidu Qianfan models before deciding whether this matchup is the right shortlist.
Open Baidu Qianfan modelsGoogle catalog
Check other Google models with comparable pricing, context, or release timing.
Open Google modelsCoBuddy is a code generation model from Baidu, optimized for coding tasks and AI Agent workflows. It features high inference throughput and low end-to-end latency, with native support for tool...
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...