Inkling Small (batch) is $2.5 cheaper per 1M input tokens (83.3% lower; 6x difference).
API cost decision in 10 seconds
NewEmber-1 vs Inkling Small (batch)
Pick Inkling Small (batch) for lower cost; pick Ember-1 only if the larger context window matters more.
Budget verdict
Pick Inkling Small (batch) for lower cost; pick Ember-1 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Inkling Small (batch) is estimated at $1.1 vs $10.5 for Ember-1, saving $9.4 (89.5% lower).
Ember-1 has more context, but Inkling Small (batch) saves $9.4 on the standard workload. At 10x that traffic, the same price gap is about $94. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Inkling Small (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ember-1 | Inkling Small (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Inkling Small (batch) | $22.5 | $3.1 |
| Balanced workload | 1M input + 1M output | Inkling Small (batch) | $18 | $1.7 |
| Output-heavy chatbot | 1M input + 5M output | Inkling Small (batch) | $78 | $6.5 |
Inkling Small (batch) is $13.8 cheaper per 1M output tokens (92% lower; 12.5x difference).
Ember-1 has 524.29K more context (2x larger).
Inkling Small (batch) is $9.4 cheaper on the standard workload (89.5% 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
Inkling Small (batch) has the lower input price; Inkling Small (batch) has the lower output price; Ember-1 offers the larger context window. For the 1M input plus 500K output sample, Inkling Small (batch) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $10.5 for Ember-1 and $1.1 for Inkling Small (batch).
Choose Ember-1 when you care most about larger context window.
Choose Inkling Small (batch) when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Inkling Small (batch) is estimated at $1.1 vs $10.5 for Ember-1, saving $9.4 (89.5% lower).
- Inkling Small (batch) is $9.4 cheaper on the standard workload (89.5% lower).
- Inkling Small (batch) is $2.5 cheaper per 1M input tokens (83.3% lower; 6x difference).
- Inkling Small (batch) is $13.8 cheaper per 1M output tokens (92% lower; 12.5x difference).
- Ember-1 has 524.29K more context (2x larger).
| Feature | NewEmber-1 (Fireworks) | Inkling Small (batch) (Thinking Machines) |
|---|---|---|
| Input Price prompt tokens per 1M | $3 | $0.5 |
| Completion Price per 1M tokens | $15 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $10.5 | $1.1 |
| Context Window | 1.05M | 524.29K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Inkling Small (batch) | On the standard 1M input plus 500K output workload, Inkling Small (batch) is estimated at $1.1 vs $10.5 for Ember-1, saving $9.4 (89.5% lower). |
| High-volume input processing | Inkling Small (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Inkling Small (batch) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ember-1 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Inkling Small (free) can replace Inkling Small (batch) when lower sample workload cost matters most: $0.
- Inkling (free) can replace Inkling Small (batch) when lower sample workload cost matters most: $0.
- Inkling Small can replace Inkling Small (batch) when lower sample workload cost matters most: $1.05.
- 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.
- GLM 5.3 Flash offers 1.31M context with $0.4 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.19 sample workload cost.
- MiMo-V2.6-Pro · Xiaomi · #1
- GLM 5.3 Flash · Z.ai · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- Hy4 preview · Tencent · #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 hubsFireworks catalog
Review all tracked Fireworks models before deciding whether this matchup is the right shortlist.
Open Fireworks modelsThinking Machines catalog
Check other Thinking Machines models with comparable pricing, context, or release timing.
Open Thinking Machines modelsEmber-1 is a specialized reasoning model from Fireworks Research, built on [Kimi K3](https://openrouter.ai/moonshotai/kimi-k3). It is designed to make every token go further: it produces shorter reasoning traces, using roughly 40%...
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...