Both models report the same input price at $1 per 1M tokens.
API cost decision in 10 seconds
Inkling vs GPT-5.6 Terra Pro (batch)
Pick Inkling for lower cost; pick GPT-5.6 Terra Pro (batch) 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 Inkling for lower cost; pick GPT-5.6 Terra Pro (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Inkling is estimated at $3.02 vs $4 for GPT-5.6 Terra Pro (batch), saving $0.98 (24.4% lower).
Cost-first pickInkling
Context-first pickGPT-5.6 Terra Pro (batch)
Sample savings$0.9824.4%
10x traffic gap$9.75
GPT-5.6 Terra Pro (batch) has more context, but Inkling saves $0.98 on the standard workload. At 10x that traffic, the same price gap is about $9.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Inkling stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Inkling | GPT-5.6 Terra Pro (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Inkling | $7.03 | $8 |
| Balanced workload | 1M input + 1M output | Inkling | $5.05 | $7 |
| Output-heavy chatbot | 1M input + 5M output | Inkling | $21.25 | $31 |
Inkling is $1.95 cheaper per 1M output tokens (32.5% lower; 1.48x difference).
GPT-5.6 Terra Pro (batch) has 1.42K more context (1x larger).
Inkling is $0.98 cheaper on the standard workload (24.4% 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
both models tie on input price; Inkling has the lower output price; GPT-5.6 Terra Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, Inkling is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $3.02 for Inkling and $4 for GPT-5.6 Terra Pro (batch).
Choose Inkling when you care most about lower output-token price.
Choose GPT-5.6 Terra Pro (batch) when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Inkling is estimated at $3.02 vs $4 for GPT-5.6 Terra Pro (batch), saving $0.98 (24.4% lower).
- Inkling is $0.98 cheaper on the standard workload (24.4% lower).
- Both models report the same input price at $1 per 1M tokens.
- Inkling is $1.95 cheaper per 1M output tokens (32.5% lower; 1.48x difference).
- GPT-5.6 Terra Pro (batch) has 1.42K more context (1x larger).
| Feature | Inkling (Thinking Machines) | GPT-5.6 Terra Pro (batch) (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $1 |
| Completion Price per 1M tokens | $4.05 | $6 |
| Sample Workload Cost 1M input + 500K output | $3.02 | $4 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Inkling | On the standard 1M input plus 500K output workload, Inkling is estimated at $3.02 vs $4 for GPT-5.6 Terra Pro (batch), saving $0.98 (24.4% lower). |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Inkling | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.6 Terra Pro (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Inkling Small (free) can replace Inkling when lower sample workload cost matters most: $0.
- Inkling (free) can replace Inkling when lower sample workload cost matters most: $0.
- Inkling Small can replace Inkling when lower sample workload cost matters most: $1.05.
- gpt-oss-120b (free) can replace GPT-5.6 Terra Pro (batch) when lower sample workload cost matters most: $0.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #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 hubsThinking Machines catalog
Review all tracked Thinking Machines models before deciding whether this matchup is the right shortlist.
Open Thinking Machines modelsOpenAI catalog
Check other OpenAI models with comparable pricing, context, or release timing.
Open OpenAI modelsInkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode