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Ember-1 vs Qwen2 72B Instruct

Ember-1 leads the LLM Stats Score 43.1 to 5.8.

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

Which is better?

Ember-1 leads the overall LLM Stats Score 43.1 to 5.8, ranking #51 overall.

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 want the most recent training data — it shipped Sep 2026

Choose Qwen2 72B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
43.1
#51
5.8
#310
38.6
#71
5.7
#306
37.0
#22
9.7
#182
Cost, coverage & limits
Benchmark wins
—
—
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
1,040,000
—

Individual benchmarks

4 reported for Ember-1 · 17 for Qwen2 72B Instruct

No common benchmarks found

Ember-1 and Qwen2 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2708.0B diff

Ember-1 has 2708.0B more parameters than Qwen2 72B Instruct, making it 3761.1% larger.

Fireworks AI
Ember-1
2.8Tparameters
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
72.0Bparameters
2780.0B
Ember-1
72.0B
Qwen2 72B Instruct

Context Window

Maximum input and output token capacity

Only Ember-1 specifies input context (1,040,000 tokens).

Fireworks AI
Ember-1
Input1,040,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

License

Usage and distribution terms

Ember-1 is licensed under a proprietary license, while Qwen2 72B Instruct uses tongyi-qianwen.

License differences may affect how you can use these models in commercial or open-source projects.

Ember-1

Proprietary

Closed source

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while Qwen2 72B Instruct was released on 2024-07-23.

Ember-1 is 26 months newer than Qwen2 72B Instruct.

Ember-1

Sep 23, 2026

2 weeks ago

2.2yr newer
Qwen2 72B Instruct

Jul 23, 2024

2.2 years 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ember-1 and Qwen2 72B Instruct side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
Qwen2 72B Instruct
Open in Playground

FAQ

Common questions about Ember-1 vs Qwen2 72B Instruct.

Which is better, Ember-1 or Qwen2 72B Instruct?

Ember-1 leads the LLM Stats Score 43.1 to 5.8. Ember-1 is made by Fireworks AI and Qwen2 72B Instruct 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 Qwen2 72B Instruct 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%. Qwen2 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%.

What are the context window sizes for Ember-1 and Qwen2 72B Instruct?

Ember-1 supports 1.0M tokens and Qwen2 72B Instruct supports an unknown number of 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 Qwen2 72B Instruct?

Key differences include LLM Stats Score (43.1 vs 5.8), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and Qwen2 72B Instruct?

Ember-1 is developed by Fireworks AI and Qwen2 72B Instruct is developed by Alibaba Cloud / Qwen Team.