Gemma 4 26B A4B vs GPT-3.5 Turbo 16k (Comparative Analysis)
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Comparative Analysis: Gemma 4 26B A4B vs. GPT-3.5 Turbo 16k
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Overview
GPT-3.5 Turbo 16k was released 2 years before Gemma 4 26B A4B.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 16.4K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 262.1K tokens | 4.1K tokens |
Release Date When this model first became publicly available | April 3, 2026 3 months ago April 3rd, 2026 | August 28, 2023 2 years ago August 28th, 2023 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | September 30, 2021 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 4 26B A4B | GPT-3.5 Turbo 16k | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text🎬Video | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemma | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Gemma 4 26B A4B is roughly 0.04x less expensive compared to GPT-3.5 Turbo 16k for input tokens and roughly 0.09x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.12 per million tokens | $3.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.35 per million tokens | $4.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.05 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Gemma 4 26B A4B and GPT-3.5 Turbo 16k.
Intelligence Index Overall model quality across independent evaluations | 25.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 39.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 11 (Artificial Analysis index; higher is better) | Benchmark not available. |
At a Glance
Quick overview of what makes Gemma 4 26B A4B and GPT-3.5 Turbo 16k unique.
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Compare GPT-3.5 Turbo 16k with:
🚀Programming
Best models for coding and development
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Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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