API cost decision in 10 seconds

NewEmber-1 vs Schematron V2 Turbo

Pick Schematron V2 Turbo for lower cost; pick Ember-1 only if the larger context window matters more.

Page updated: 2026-09-24T06:07:49Z Data confirmed: 2026-09-24T07:07:51Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Schematron V2 Turbo for lower cost; pick Ember-1 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $10.5 for Ember-1, saving $10.39 (99% lower).

Cost-first pickSchematron V2 Turbo

Context-first pickEmber-1

Sample savings$10.3999%

10x traffic gap$103.95

Ember-1 has more context, but Schematron V2 Turbo saves $10.39 on the standard workload. At 10x that traffic, the same price gap is about $103.95. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Schematron V2 Turbo stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Ember-1	Schematron V2 Turbo
Input-heavy / RAG	5M input + 500K output	Schematron V2 Turbo	$22.5	$0.22
Balanced workload	1M input + 1M output	Schematron V2 Turbo	$18	$0.18
Output-heavy chatbot	1M input + 5M output	Schematron V2 Turbo	$78	$0.78

Cheaper input Schematron V2 Turbo $3 vs $0.03 / 1M

Schematron V2 Turbo is $2.97 cheaper per 1M input tokens (99% lower; 100x difference).

Cheaper output Schematron V2 Turbo $15 vs $0.15 / 1M

Schematron V2 Turbo is $14.85 cheaper per 1M output tokens (99% lower; 100x difference).

Larger context Ember-1 1.05M vs 128K

Ember-1 has 920.58K more context (8.19x larger).

Sample workload Schematron V2 Turbo $10.5 vs $0.1

Schematron V2 Turbo is $10.39 cheaper on the standard workload (99% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Ember-1 Calculating… Estimated API cost

Schematron V2 Turbo Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Schematron V2 Turbo has the lower input price; Schematron V2 Turbo has the lower output price; Ember-1 offers the larger context window. For the 1M input plus 500K output sample, Schematron V2 Turbo 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 $0.1 for Schematron V2 Turbo.

Best Fit

Choose Ember-1 when you care most about larger context window.

Choose Schematron V2 Turbo when you care most about lower input-token price, and lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $10.5 for Ember-1, saving $10.39 (99% lower).
Schematron V2 Turbo is $10.39 cheaper on the standard workload (99% lower).
Schematron V2 Turbo is $2.97 cheaper per 1M input tokens (99% lower; 100x difference).
Schematron V2 Turbo is $14.85 cheaper per 1M output tokens (99% lower; 100x difference).
Ember-1 has 920.58K more context (8.19x larger).

Head-to-Head Specs

Feature	NewEmber-1 (Fireworks)	Schematron V2 Turbo (Inference.net)
Input Price prompt tokens per 1M	$3	$0.03
Completion Price per 1M tokens	$15	$0.15
Sample Workload Cost 1M input + 500K output	$10.5	$0.1
Context Window	1.05M	128K
Release Date	2026-09-24	2026-09-12

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Schematron V2 Turbo	On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $10.5 for Ember-1, saving $10.39 (99% lower).
High-volume input processing	Schematron V2 Turbo	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Schematron V2 Turbo	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

Same-provider lower-cost swaps

No lower-cost same-provider swap is currently tracked for this pair.

Larger context near this budget

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.

Popular competitors

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DeepSeek V4.1 Flash · DeepSeek · #3
Hy4 preview · Tencent · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Fireworks catalog

Review all tracked Fireworks models before deciding whether this matchup is the right shortlist.

Open Fireworks models

Inference.net catalog

Check other Inference.net models with comparable pricing, context, or release timing.

Open Inference.net models

Ember-1

Ember-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%...

Schematron V2 Turbo

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...