Gemini 3.8 Flash vs Hy3
Gemini 3.8 Flash leads the LLM Stats Score 51.2 to 43.2. Hy3 is 6.0x cheaper per token.
Google · Tencent · Updated for 2026
Which is better?
Gemini 3.8 Flash leads the overall LLM Stats Score 51.2 to 43.2, ranking #12 overall.
In the 1 individual benchmarks reported for both models, Gemini 3.8 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Hy3 is roughly 6.0x 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 51.2 and ranks #12 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 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Hy3
- cost matters — it's about 6.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 3.8 Flash · 31 for Hy3
Gemini 3.8 Flash outperforms in 1 benchmarks (Terminal-Bench 2.1), while Hy3 is better at 0 benchmarks.
Gemini 3.8 Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.8 Flash ($0.75/1M tokens) is 5.4x more expensive than Hy3 ($0.14/1M tokens).
For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 6.5x more expensive than Hy3 ($0.58/1M tokens).
In conclusion, Gemini 3.8 Flash is more expensive than Hy3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.8 Flash accepts 1,048,576 input tokens compared to Hy3's 262,144 tokens. Hy3 can generate longer responses up to 262,144 tokens, while Gemini 3.8 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.8 Flash supports multimodal inputs, whereas Hy3 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
Hy3
License
Usage and distribution terms
Gemini 3.8 Flash is licensed under a proprietary license, while Hy3 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.8 Flash was released on 2026-09-02, while Hy3 was released on 2026-07-06.
Gemini 3.8 Flash is 2 months newer than Hy3.
Sep 2, 2026
1 weeks ago
1mo newerJul 6, 2026
2 months ago
Knowledge Cutoff
When training data ends
Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while Hy3's cutoff date is not specified.
We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Hy3's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.8 Flash is available from Google. Hy3 is available from DeepInfra.
Gemini 3.8 Flash
Hy3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.8 Flash and Hy3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.8 Flash vs Hy3.