AI Models · Paid vs Paid

FIEmber-1 Paid vs Gemini 3.5 Flash Lite Paid

Ember-1 vs Gemini 3.5 Flash Lite compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

FIEmber-1PaidFireworks
$3 /M input
$15 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Gemini 3.5 Flash LitePaidGoogle
$0.3 /M input
$2.5 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Gemini 3.5 Flash Lite for the lower output price ($2.5/M vs $15/M). Choose Ember-1 if you need the larger 1M context window.

Ember-1 vs Gemini 3.5 Flash Lite specs

SpecEmber-1Gemini 3.5 Flash LiteWinner
MakerFireworksGoogle–
TypeProprietaryProprietary–
Context window1M tokens1M tokens= Tie
Input price$3/M$0.3/MGemini 3.5 Flash Lite
Output price$15/M$2.5/MGemini 3.5 Flash Lite
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)–
LicenseProprietaryProprietary–

Price gap & when to choose each

6.0×cheaper per output token

Gemini 3.5 Flash Lite is ~6.0× cheaper than Ember-1 on output tokens ($2.5 vs $15 per M tokens).

FIChoose Ember-1 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Gemini 3.5 Flash Lite if…
  • You want frontier performance through a managed API
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityEmber-1Gemini 3.5 Flash Lite
Open weights (downloadable)✗✗
Self-hostable✗✗
Runs fully offline✗✗
Vision / multimodal✓✓
Tool / function calling✓✓
1M+ context window✓✓

Benchmarks: Ember-1 vs Gemini 3.5 Flash Lite

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Ember-1
Gemini 3.5 Flash Lite
Intelligence index
–
22.2
Coding index
–
49.3
GPQA
–
83.8%
Humanity's Last Exam
–
18.8%
Long Context Reasoning
–
76%
SciCode
–
41.3%
τ-Bench Banking
–
17.5%
Terminal-Bench
–
53.6%
Speed
–
399.9 tok/s
Latency
–
5.28s
Intelligence per $
–
26.1

Benchmark data by Artificial Analysis.

How Ember-1 and Gemini 3.5 Flash Lite score

🏆 Best value & openness: Gemini 3.5 Flash Lite (3.4 vs 3.1 / 5)
CriterionEmber-1Gemini 3.5 Flash Lite
Cost-efficiency3.04.5
Context window5.05.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Ember-1 Paid

Fireworks · Proprietary

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%...

Gemini 3.5 Flash Lite Paid

Google · Proprietary

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Gemini 3.5 Flash Lite (batch)Gemini 3.1 Flash LiteGemini 3.1 Flash Lite (batch)Gemini 2.5 Flash LiteNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Frequently asked questions

Ember-1 vs Gemini 3.5 Flash Lite — which is cheaper?

Gemini 3.5 Flash Lite is cheaper on output ($2.5/M vs $15/M).

Which has the larger context window?

Ember-1 offers the larger context window (1M tokens).

Ember-1 vs Gemini 3.5 Flash Lite — which should I pick in 2026?

Choose Gemini 3.5 Flash Lite for the lower output price ($2.5/M vs $15/M). Choose Ember-1 if you need the larger 1M context window.

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