Gemma 4 26B A4B vs GPT-3.5 Turbo (older v0613) (Comparative Analysis)
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Comparative Analysis: Gemma 4 26B A4B vs. GPT-3.5 Turbo (older v0613)
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Overview
GPT-3.5 Turbo (older v0613) was released 2 years before Gemma 4 26B A4B.
 Gemma 4 26B A4B |  GPT-3.5 Turbo (older v0613) | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | OpenAI |
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 4.1K 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 | January 25, 2024 2 years ago January 25th, 2024 |
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 (older v0613) | |
|---|---|---|
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 0.1x less expensive compared to GPT-3.5 Turbo (older v0613) for input tokens and roughly 0.2x less expensive for output tokens.
| Gemma 4 26B A4B | GPT-3.5 Turbo (older v0613) | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.12 per million tokens | $1.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.35 per million tokens | $2.00 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 (older v0613).
| Gemma 4 26B A4B | GPT-3.5 Turbo (older v0613) | |
|---|---|---|
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 (older v0613) unique.
Gemma 4 26B A4B by Google understands both text and images, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.12/M input and $0.35/M output tokens. Released April 3rd, 2026.GPT-3.5 Turbo (older v0613) by OpenAI can use external tools and APIs, generates structured data. It can handle standard conversations with its 4.1K token context window. Reasonably priced at $1.00/M input and $2.00/M output tokens. Released January 25th, 2024.Explore More Comparisons
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Compare GPT-3.5 Turbo (older v0613) with:
🚀Programming
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🎨Creative & Roleplay
Models optimized for creative writing
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Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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