Ember-1 vs Qwen3 Max

Ember-1 leads the LLM Stats Score 43.1 to 21.7. Qwen3 Max is 3.7x cheaper per token.

Fireworks AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.1 to 21.7, ranking #51 overall.

In the 1 individual benchmarks reported for both models, Ember-1 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 Max is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ember-1 also accepts a larger context window (1,040,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Ember-1

overall performance matters — it scores 43.1 and ranks #51 on LLM Stats
your work emphasizes reasoning and coding — it leads those capability indexes
you value its reported benchmark strengths — it wins 1 of 1 exact shared results
you process long inputs — it offers a 1,040,000 token context window
you want the most recent training data — it shipped Sep 2026

Choose Qwen3 Max

cost matters — it's about 3.7x cheaper per token

At a glance

The differences that matter most.

Better token value: Qwen3 Max

Ember-1

Fireworks AI

Qwen3 Max

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

43.1

#51 · 4 evals

Best

21.7

#200 · 6 evals

Reasoning

38.6

#71 · 3 evals

Best

21.9

#190 · 6 evals

Coding

37.0

#22 · 3 evals

Best

11.2

#170 · 1 evals

Agents

29.7

#44 · 2 evals

Best

4.9

#162 · 1 evals

Cost, coverage & limits

Benchmark wins

1 of 1

Best

0 of 1

Input price

$3.00 / M

$0.50 / M

Best

Output price

$15.00 / M

$5.00 / M

Best

Context window

1,040,000

Best

256,000

Individual benchmarks

4 reported for Ember-1 · 6 for Qwen3 Max

1 shared

Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while Qwen3 Max is better at 0 benchmarks.

Ember-1 significantly outperforms across most benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 Max costs less

For input processing, Ember-1 ($3.00/1M tokens) is 6.0x more expensive than Qwen3 Max ($0.50/1M tokens).

For output processing, Ember-1 ($15.00/1M tokens) is 3.0x more expensive than Qwen3 Max ($5.00/1M tokens).

In conclusion, Ember-1 is more expensive than Qwen3 Max.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Fri Oct 09 2026 • llm-stats.com

Ember-1

Input tokens$3.00

Output tokens$15.00

Best providerFireworks

Qwen3 Max

Input tokens$0.50

Output tokens$5.00

Best providerNovita

Notice missing or incorrect data?

Model Size

Parameter count comparison

1780.0B diff

Ember-1 has 1780.0B more parameters than Qwen3 Max, making it 178.0% larger.

Ember-1

2.8Tparameters

Qwen3 Max

1.0Tparameters

2780.0B

Ember-1

1000.0B

Qwen3 Max

Context Window

Maximum input and output token capacity

Ember-1 accepts 1,040,000 input tokens compared to Qwen3 Max's 256,000 tokens. Only Qwen3 Max specifies output context (131,072 tokens).

Ember-1

Input1,040,000 tokens

Output- tokens

Qwen3 Max

Input256,000 tokens

Output131,072 tokens

Fri Oct 09 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Ember-1

Proprietary

Closed source

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while Qwen3 Max was released on 2025-12-15.

Ember-1 is 9 months newer than Qwen3 Max.

Ember-1

Sep 23, 2026

2 weeks ago

9mo newer

Qwen3 Max

Dec 15, 2025

9 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Ember-1 is available from Fireworks. Qwen3 Max is available from Novita, DeepInfra.

Ember-1

Fireworks

Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

Qwen3 Max

Novita

Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M

Deepinfra

Input Price:Input: $1.20/1MOutput Price:Output: $6.00/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ember-1 and Qwen3 Max side-by-side, then vote on the output you prefer.

Ember-1

✓ Preferred

Qwen3 Max

Open in Playground

FAQ

Common questions about Ember-1 vs Qwen3 Max.

Which is better, Ember-1 or Qwen3 Max?

Ember-1 leads the LLM Stats Score 43.1 to 21.7. Ember-1 is made by Fireworks AI and Qwen3 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ember-1 compare to Qwen3 Max in benchmarks?

Ember-1 scores SWE-Bench Verified: 92.2%, Terminal-Bench 2.1: 82.0%, DeepSWE 1.1: 75.2%, Tau2 Airline: 66.0%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

Is Ember-1 cheaper than Qwen3 Max?

Qwen3 Max is 6.0x cheaper for input tokens. Ember-1 costs $3.00/M input and $15.00/M output via fireworks. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.

What are the context window sizes for Ember-1 and Qwen3 Max?

Ember-1 supports 1.0M tokens and Qwen3 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ember-1 and Qwen3 Max?

Key differences include LLM Stats Score (43.1 vs 21.7), context window (1.0M vs 256K), input pricing ($3.00 vs $0.50/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and Qwen3 Max?

Ember-1 is developed by Fireworks AI and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.

Ember-1 vs Qwen3 Max