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Fireworks: Ember-1

fireworks/ember-1

Ember-1 is a specialized reasoning model from Fireworks Research, built on Kimi K3. It is designed to make every token go further: it produces shorter reasoning traces, using roughly 40% fewer tokens than the base model while maintaining comparable quality across Fireworks' evaluations. It is suited for coding, knowledge work, and agentic workflows where reasoning cost and latency matter.

Modalities
In / out price
$3 / $15per 1M
Context
1.0M
Released
Sep 24, 2026

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input
$2.644/M tokens
Output
$15/M tokens
Price history
No effective price data for this selection

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Throughput
68tok/s

P50, best across providers

Latency
0.55s

P50, best provider

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.95%

Availability over the last 3 days

Last 72 hours
Availability 99.95%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.82%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Fireworks: Ember-1 (Vals AI)
SourceBenchmarkScore
Vals AIEmber-1 BioMysteryBench67.0%
Vals AIEmber-1 Code Migration32.5%
Vals AIEmber-1 CyberBench v1.169.5%
Vals AIEmber-1 EMB63.4%
Vals AIEmber-1 Finance Agent (v2)51.9%
Vals AIEmber-1 Harvey's Legal Agent Benchmark v19.2%
Vals AIEmber-1 IOI46.3%
Vals AIEmber-1 Legal Research Bench44.7%
Vals AIEmber-1 MysteryMechanism22.5%
Vals AIEmber-1 ProofBench v1.161.0%
Vals AIEmber-1 Public Benefits Bench v1.166.2%
Vals AIEmber-1 SAGE86.4%
Vals AIEmber-1 Vals Science Index31.8%
Vals AIEmber-1 Tax Agent Bench31.1%
Vals AIEmber-1 Terminal-Bench 4.020.7%
Vals AIEmber-1 Terminal-Bench-Science5.7%
Vals AIEmber-1 Vals Index50.9%
Vals AIEmber-1 Vibe Code Bench v1.183.9%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

1.
Favicon for https://nousresearch.com
Hermes Agent
2.69Btokens
2.
Favicon for https://omp.sh/
omp
new
193Mtokens
3.
Favicon for https://pi.dev/
pi
138Mtokens
4.
Favicon for https://github.com/deepseek-ai/deepseek-harness
DeepSeek Harness
new
134Mtokens
5.
Favicon for https://goose-docs.ai/
goose
new
130Mtokens
Rest of OpenRouter
1.5M
Top 5 Apps
23

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

Frequently asked questions

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