AI Models · Paid vs Paid

FIEmber-1 Paid vs Gemini 3.8 Flash Paid

Ember-1 vs Gemini 3.8 Flash 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 3.8 FlashPaidGoogle
$0.83 /M input
$4.13 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Gemini 3.8 Flash for the lower output price ($4.13/M vs $15/M). Choose Ember-1 if you need the larger 1M context window.

Ember-1 vs Gemini 3.8 Flash specs

SpecEmber-1Gemini 3.8 FlashWinner
MakerFireworksGoogle–
TypeProprietaryProprietary–
Context window1M tokens1M tokens= Tie
Input price$3/M$0.83/MGemini 3.8 Flash
Output price$15/M$4.13/MGemini 3.8 Flash
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)–
LicenseProprietaryProprietary–

Price gap & when to choose each

3.6×cheaper per output token

Gemini 3.8 Flash is ~3.6× cheaper than Ember-1 on output tokens ($4.13 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 3.8 Flash 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 3.8 Flash
Open weights (downloadable)✗✗
Self-hostable✗✗
Runs fully offline✗✗
Vision / multimodal✓✓
Tool / function calling✓✓
1M+ context window✓✓

Benchmarks: Ember-1 vs Gemini 3.8 Flash

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

Ember-1
Gemini 3.8 Flash
Intelligence index
–
40.9
Coding index
–
76.3
GPQA
–
95.3%
Humanity's Last Exam
–
47.8%
Long Context Reasoning
–
81.3%
SciCode
–
56.6%
τ-Bench Banking
–
44.9%
Terminal-Bench
–
87.6%
Speed
–
124.3 tok/s
Latency
–
16.15s
Intelligence per $
–
27.3

Benchmark data by Artificial Analysis.

How Ember-1 and Gemini 3.8 Flash score

🤝 Neck and neck on these criteria (3.1 vs 3.3 / 5).
CriterionEmber-1Gemini 3.8 Flash
Cost-efficiency3.04.0
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 3.8 Flash Paid

Google · Proprietary

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

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 3.8 Flash (batch)Gemini 3.7 FlashGemini 3.7 Flash (batch)Gemini 3.6 FlashGemini 3.6 Flash (batch)Gemini 3.5 FlashGemini 3.5 Flash (batch)Gemini 3 Flash PreviewGemini 3 Flash Preview (batch)Gemini 2.5 FlashNano Banana 2 (Gemini 3.1 Flash Image)Nano Banana (Gemini 2.5 Flash Image)

Frequently asked questions

Ember-1 vs Gemini 3.8 Flash — which is cheaper?

Gemini 3.8 Flash is cheaper on output ($4.13/M vs $15/M).

Which has the larger context window?

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

Ember-1 vs Gemini 3.8 Flash — which should I pick in 2026?

Choose Gemini 3.8 Flash for the lower output price ($4.13/M vs $15/M). Choose Ember-1 if you need the larger 1M context window.

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