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Gemini 3.8 Flash vs K-EXAONE-236B-A23B

Gemini 3.8 Flash leads the LLM Stats Score 50.6 to 26.2. K-EXAONE-236B-A23B is 2.1x cheaper per token.

Google · LG AI Research · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 50.6 to 26.2, ranking #16 overall.

On price, K-EXAONE-236B-A23B is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.8 Flash also accepts a larger context window (1,048,576 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 Gemini 3.8 Flash

  • overall performance matters — it scores 50.6 and ranks #16 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose K-EXAONE-236B-A23B

  • cost matters — it's about 2.1x cheaper per token

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
K-EXAONE-236B-A23B
LG AI Research
Core performance indexes
LLM Stats Score
50.6
#16
26.2
#150
Reasoning
46.9
#24
27.2
#138
Agents
35.8
#17
4.1
#158
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.75 / M
$0.60 / M
Output price
$3.75 / M
$1.00 / M
Context window
1,048,576
32,768

Individual benchmarks

13 reported for Gemini 3.8 Flash · 6 for K-EXAONE-236B-A23B

No common benchmarks found

Gemini 3.8 Flash 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, Gemini 3.8 Flash ($0.75/1M tokens) is 1.3x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 3.8x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, Gemini 3.8 Flash 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 Sep 11 2026 • llm-stats.com
Google
Gemini 3.8 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.8 Flash accepts 1,048,576 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Gemini 3.8 Flash can generate longer responses up to 65,536 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.8 Flash supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash

Text
Images
Audio
Video

K-EXAONE-236B-A23B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.8 Flash

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while K-EXAONE-236B-A23B was released on 2025-12-31.

Gemini 3.8 Flash is 8 months newer than K-EXAONE-236B-A23B.

Gemini 3.8 Flash

Sep 2, 2026

1 weeks ago

8mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

8 months ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a knowledge cutoff of 2026-03-31, while K-EXAONE-236B-A23B has a cutoff of 2025-10-01.

Gemini 3.8 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to K-EXAONE-236B-A23B (2025-10-01).

Gemini 3.8 Flash

Mar 2026

5 mo newer
K-EXAONE-236B-A23B

Oct 2025

Provider Availability

Gemini 3.8 Flash is available from Google. K-EXAONE-236B-A23B is available from FriendliAI.

Gemini 3.8 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
K-EXAONE-236B-A23B
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs K-EXAONE-236B-A23B.

Which is better, Gemini 3.8 Flash or K-EXAONE-236B-A23B?

Gemini 3.8 Flash leads the LLM Stats Score 50.6 to 26.2. Gemini 3.8 Flash is made by Google 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 Gemini 3.8 Flash compare to K-EXAONE-236B-A23B in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. 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 Gemini 3.8 Flash cheaper than K-EXAONE-236B-A23B?

K-EXAONE-236B-A23B is 1.3x cheaper for input tokens. Gemini 3.8 Flash costs $0.75/M input and $3.75/M output via google. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli.

What are the context window sizes for Gemini 3.8 Flash and K-EXAONE-236B-A23B?

Gemini 3.8 Flash 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 Gemini 3.8 Flash and K-EXAONE-236B-A23B?

Key differences include LLM Stats Score (50.6 vs 26.2), context window (1.0M vs 33K), input pricing ($0.75 vs $0.60/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and K-EXAONE-236B-A23B?

Gemini 3.8 Flash is developed by Google and K-EXAONE-236B-A23B is developed by LG AI Research.

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