Ember-1 vs Qwen3.8 Omni Flash: Specs & Benchmark Comparison

Ember-1 is developed by Fireworks AI, while Qwen3.8 Omni Flash comes from Alibaba. Both were released in September 2026. Ember-1 has a published size of about 2.8 trillion parameters; Alibaba has not disclosed the parameter count of Qwen3.8 Omni Flash.

We have 4 benchmark results for Ember-1 and 5 benchmark results for Qwen3.8 Omni Flash, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Ember-1 is available through an API at $3 per million input tokens with a 1M-token context window. We do not track a hosted API for Qwen3.8 Omni Flash, so pricing and context cannot be compared directly.

CharacteristicEmber-1Qwen3.8 Omni Flash
CompanyFireworks AIAlibaba
Release DateSeptember 23, 2026September 18, 2026
Parameters2.8T—
MultimodalNoYes
Context (input)1.0M—
Input Price / 1M$3.00—
Output Price / 1M$15.00—
Average Score78.8%80.7%

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: Ember-1 — 0.8, Qwen3.8 Omni Flash — 0.8.

Recency

Both models were released around the same time: 9/23/2026 and 9/18/2026.

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Frequently Asked Questions

Which is better for coding — Ember-1 or Qwen3.8 Omni Flash?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Ember-1 or Qwen3.8 Omni Flash?
API pricing data is available on the individual model pages.
Which has a larger context window — Ember-1 or Qwen3.8 Omni Flash?
Context window data is available on the individual model pages.

The Ember-1 and Qwen3.8 Omni Flash comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Ember-1 or Qwen3.8 Omni Flash page. See also the complete list of AI model comparisons.