AI tool comparison
Gemma 4 vs GPT-5.5
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
AI Models
Gemma 4
Google's sharpest open models — multimodal, 256K context, runs on a Raspberry Pi
75%
Panel ship
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Community
Free
Entry
Gemma 4 is Google DeepMind's fourth-generation open model family, released April 2, 2026, under Apache 2.0. Four variants ship in the family: E2B and E4B edge models that run fully offline on phones, Raspberry Pi, and NVIDIA Jetson; a 26B Mixture-of-Experts model that activates only 3.8B parameters at inference; and a 31B Dense flagship. The 31B scores 1452 on the Arena AI text leaderboard (third among all open models), hits 89.2% on AIME 2026 math, and 85.2% on MMLU Pro — versus Gemma 3's 20.8% on AIME. All four model sizes accept text and image inputs. The edge models additionally handle native audio and video, making them the first on-device models with full multimodal coverage. Context windows reach 256K tokens on the large variants, enabling entire codebases or long documents in a single prompt. Native support for tool use, structured output, and agentic workflows is baked in from the start. For the open-source AI community, Gemma 4 is a watershed: a commercially permissive model that genuinely competes with closed-source alternatives on reasoning benchmarks. Gemma downloads crossed 400 million before this launch — Gemma 4's edge deployment story, combining on-device inference with frontier-class reasoning, looks set to make that number look small.
AI Models
GPT-5.5
OpenAI's new flagship unifies chat, code, and browser into one agent
75%
Panel ship
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Community
Free
Entry
OpenAI shipped GPT-5.5 on April 23, 2026, positioning it as "a major step toward a unified AI super-app" that combines chat, coding, and browser use in a single model. It is accessible via a new Agent Mode dropdown inside ChatGPT for Pro, Plus, and Team subscribers, and through the API for developers. The model delivers stronger tool use and reliability than its predecessors, with particular improvements in multi-step agentic task completion. New workspace agents for ChatGPT Business and Enterprise can autonomously handle tasks across Slack, Gmail, and other connected platforms — the same territory OpenAI has been building toward since the Agents SDK launch earlier this year. GPT-5.5 is OpenAI's answer to growing pressure from Anthropic's Claude Opus 4.7, Google's Gemini Enterprise platform, and open-source contenders like Kimi K2.6 and Arcee Trinity. Whether it actually leapfrogs the competition or merely matches it is still shaking out in independent benchmarks, but for the millions of existing ChatGPT users, it's the biggest capability jump they'll feel in day-to-day use this year.
Reviewer scorecard
“Apache 2.0, runs on a Pi, 256K context, beats proprietary models on AIME — this is the open-source AI stack I've been waiting for. The agentic workflow support baked in natively means I'm not bolting on separate tooling. Shipping today.”
“The API reliability improvements alone make this worth upgrading. Multi-step tool use has been the weak link in production OpenAI deployments — if GPT-5.5 actually fixes flakiness in function calling chains, that's worth the token cost increase.”
“The benchmark numbers are impressive on paper, but Gemma 3 was also hyped and underdelivered in production on complex multi-step tasks. The edge models are still unproven outside of Google's own hardware partnerships. Watch the community benchmarks before committing to a migration.”
“OpenAI's release cadence has become so fast that GPT-5.5 may already feel dated by the time you integrate it. Independent benchmark results are inconsistent — some put it behind Kimi K2.6 on coding. And the 'unified super-app' framing is marketing; you're still paying separately for every capability.”
“On-device frontier-class intelligence with native audio and video is the inflection point for ambient AI. When a $35 Raspberry Pi can run a model that beats last year's GPT-4 on math, the entire economics of edge AI applications change overnight. This is the model that makes AI infrastructure costs asymptotically cheap.”
“The Slack and Gmail workspace agents are the real story — they bring agentic AI to the office worker who will never touch an API. OpenAI's distribution advantage means GPT-5.5 will be the most-used AI model on the planet within weeks of launch, regardless of benchmark rankings.”
“The document and PDF parsing, OCR, chart comprehension, and UI understanding built into every model size is huge for creative workflow automation. I can finally build tools that read design briefs, invoices, and mockups without needing a cloud API call. The offline capability means client data never leaves my machine.”
“Agent Mode in ChatGPT is finally making AI feel less like a chatbot and more like a collaborator. For creators who live in a browser, having a model that can autonomously browse, research, and draft without constant hand-holding is a genuine time multiplier.”
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