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Ember-1 vs K-EXAONE-236B-A23B

Ember-1 leads the LLM Stats Score 43.1 to 26.2. K-EXAONE-236B-A23B is 8.6x cheaper per token.

Fireworks AI · LG AI Research · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.1 to 26.2, ranking #51 overall.

On price, K-EXAONE-236B-A23B is roughly 8.6x 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 agents — it leads those capability indexes
  • 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 K-EXAONE-236B-A23B

  • cost matters — it's about 8.6x cheaper per token

At a glance

The differences that matter most.

Ember-1
Fireworks AI
K-EXAONE-236B-A23B
LG AI Research
Core performance indexes
LLM Stats Score
43.1
#51
26.2
#167
Reasoning
38.6
#71
27.2
#154
Agents
29.7
#44
3.9
#174
Cost, coverage & limits
Benchmark wins
—
—
Input price
$3.00 / M
$0.60 / M
Output price
$15.00 / M
$1.00 / M
Context window
1,040,000
32,768

Individual benchmarks

4 reported for Ember-1 · 6 for K-EXAONE-236B-A23B

No common benchmarks found

Ember-1 and K-EXAONE-236B-A23Bdon'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

Pricing Analysis

Price comparison per million tokens

K-EXAONE-236B-A23B costs less

For input processing, Ember-1 ($3.00/1M tokens) is 5.0x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, Ember-1 ($15.00/1M tokens) is 15.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, Ember-1 is more expensive than K-EXAONE-236B-A23B.*

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

Lowest available price from all providers
Fri Oct 09 2026 • llm-stats.com
Fireworks AI
Ember-1
Input tokens$3.00
Output tokens$15.00
Best providerFireworks
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
Notice missing or incorrect data?

Model Size

Parameter count comparison

2544.0B diff

Ember-1 has 2544.0B more parameters than K-EXAONE-236B-A23B, making it 1078.0% larger.

Fireworks AI
Ember-1
2.8Tparameters
LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
2780.0B
Ember-1
236.0B
K-EXAONE-236B-A23B

Context Window

Maximum input and output token capacity

Ember-1 accepts 1,040,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Only K-EXAONE-236B-A23B specifies output context (32,768 tokens).

Fireworks AI
Ember-1
Input1,040,000 tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 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

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while K-EXAONE-236B-A23B was released on 2025-12-31.

Ember-1 is 9 months newer than K-EXAONE-236B-A23B.

Ember-1

Sep 23, 2026

2 weeks ago

8mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

9 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Ember-1's cutoff date is not specified.

We can confirm K-EXAONE-236B-A23B's training data extends to 2025-10-01, but cannot make a direct comparison without Ember-1's cutoff date.

Ember-1

—

K-EXAONE-236B-A23B

Oct 2025

Provider Availability

Ember-1 is available from Fireworks. K-EXAONE-236B-A23B is available from FriendliAI.

Ember-1

fireworks logo
Fireworks
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

K-EXAONE-236B-A23B

friendli logo
FriendliAI
Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ember-1 and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
K-EXAONE-236B-A23B
Open in Playground

FAQ

Common questions about Ember-1 vs K-EXAONE-236B-A23B.

Which is better, Ember-1 or K-EXAONE-236B-A23B?

Ember-1 leads the LLM Stats Score 43.1 to 26.2. Ember-1 is made by Fireworks AI and K-EXAONE-236B-A23B is made by LG AI Research. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ember-1 compare to K-EXAONE-236B-A23B 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%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.

Is Ember-1 cheaper than K-EXAONE-236B-A23B?

K-EXAONE-236B-A23B is 5.0x cheaper for input tokens. Ember-1 costs $3.00/M input and $15.00/M output via fireworks. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli.

What are the context window sizes for Ember-1 and K-EXAONE-236B-A23B?

Ember-1 supports 1.0M tokens and K-EXAONE-236B-A23B supports 33K 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 K-EXAONE-236B-A23B?

Key differences include LLM Stats Score (43.1 vs 26.2), context window (1.0M vs 33K), input pricing ($3.00 vs $0.60/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and K-EXAONE-236B-A23B?

Ember-1 is developed by Fireworks AI and K-EXAONE-236B-A23B is developed by LG AI Research.

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