Ling 3.0 Flash VL (free) is free for input tokens while Ember-1 costs $3 per 1M tokens.
API cost decision in 10 seconds
NewEmber-1 vs Ling 3.0 Flash VL (free)
Pick Ling 3.0 Flash VL (free) for lower cost; pick Ember-1 only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ling 3.0 Flash VL (free) for lower cost; pick Ember-1 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL (free) is estimated at $0 vs $10.5 for Ember-1, saving $10.5 (100% lower).
Cost-first pickLing 3.0 Flash VL (free)
Context-first pickEmber-1
Sample savings$10.5100%
10x traffic gap$105
Ember-1 has more context, but Ling 3.0 Flash VL (free) saves $10.5 on the standard workload. At 10x that traffic, the same price gap is about $105. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling 3.0 Flash VL (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ember-1 | Ling 3.0 Flash VL (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Flash VL (free) | $22.5 | $0 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Flash VL (free) | $18 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Flash VL (free) | $78 | $0 |
Ling 3.0 Flash VL (free) is free for output tokens while Ember-1 costs $15 per 1M tokens.
Ember-1 has 786.43K more context (4x larger).
Ling 3.0 Flash VL (free) is free for the standard workload while the other model is estimated at $10.5.
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
Ling 3.0 Flash VL (free) has the lower input price; Ling 3.0 Flash VL (free) has the lower output price; Ember-1 offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash VL (free) 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 $0 for Ling 3.0 Flash VL (free).
Choose Ember-1 when you care most about larger context window.
Choose Ling 3.0 Flash VL (free) when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL (free) is estimated at $0 vs $10.5 for Ember-1, saving $10.5 (100% lower).
- Ling 3.0 Flash VL (free) is free for the standard workload while the other model is estimated at $10.5.
- Ling 3.0 Flash VL (free) is free for input tokens while Ember-1 costs $3 per 1M tokens.
- Ling 3.0 Flash VL (free) is free for output tokens while Ember-1 costs $15 per 1M tokens.
- Ember-1 has 786.43K more context (4x larger).
| Feature | NewEmber-1 (Fireworks) | Ling 3.0 Flash VL (free) (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $3 | $0 |
| Completion Price per 1M tokens | $15 | $0 |
| Sample Workload Cost 1M input + 500K output | $10.5 | $0 |
| Context Window | 1.05M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling 3.0 Flash VL (free) | On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL (free) is estimated at $0 vs $10.5 for Ember-1, saving $10.5 (100% lower). |
| High-volume input processing | Ling 3.0 Flash VL (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ling 3.0 Flash VL (free) | 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
- No lower-cost same-provider swap is currently tracked for this pair.
- 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 modelsinclusionAI catalog
Check other inclusionAI models with comparable pricing, context, or release timing.
Open inclusionAI 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%...
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