AI Models · Open-Source vs Paid

Gemma 4 26B A4B Open vs GPT-4o-mini Paid

Gemma 4 26B A4B vs GPT-4o-mini compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · OpenSourceAI.tech

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Choose Gemma 4 26B A4B if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-4o-mini if you want frontier capability through a managed API with zero infrastructure to run.

Gemma 4 26B A4B vs GPT-4o-mini specs

SpecGemma 4 26B A4BGPT-4o-mini
MakerGoogleOpenAI
TypeOpen-weightProprietary
Context window262K tokens128K tokens
Input price$0.07/M · free self-host$0.15/M
Output price$0.34/M · free self-host$0.6/M
Vision / multimodalYesYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseGemma LicenseProprietary

Feature comparison

CapabilityGemma 4 26B A4BGPT-4o-mini
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Gemma 4 26B A4B vs GPT-4o-mini

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Gemma 4 26B A4B delivers 4.9× more intelligence per dollar.
Gemma 4 26B A4B
GPT-4o-mini
Intelligence index
25.7
6.9
Coding index
39.3
11.4
GPQA
79.2%
42.6%
Humanity's Last Exam
18.3%
4%
Long Context Reasoning
55.7%
SciCode
40%
22.9%
IFBench
72.4%
31%
τ²-Bench
43.6%
τ-Bench Banking
11.8%
2.9%
Terminal-Bench
39%
5.6%
Terminal-Bench Hard
13.6%
Math index
14.7
MMLU-Pro
64.8%
LiveCodeBench
23.4%
MATH-500
78.9%
AIME
11.7%
AIME 2025
14.7%
Speed
0 tok/s
90.9 tok/s
Latency
0s
0.55s
Intelligence per $
129.8
26.3

Benchmark data by Artificial Analysis.

How Gemma 4 26B A4B and GPT-4o-mini score

🏆 Best value & openness: Gemma 4 26B A4B (4.8 vs 3.2 / 5)
CriterionGemma 4 26B A4BGPT-4o-mini
Cost-efficiency5.05.0
Context window4.03.5
Openness5.01.5
Self-hosting5.01.0
Multimodality5.05.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Gemma 4 26B A4B Open

Google · Open-weight

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

GPT-4o-mini Paid

OpenAI · Proprietary

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Gemma 4 31BGemma 3 27BGemma 3 12BGemma 4 26B A4B (free)Gemma 3 4BGemma 4 31B (free)Gemma 3n 4BGemma 2 27B

Frequently asked questions

Is Gemma 4 26B A4B as good as GPT-4o-mini?

Gemma 4 26B A4B is open-weight and competitive on many tasks, but GPT-4o-mini may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Gemma 4 26B A4B locally?

Yes. Gemma 4 26B A4B has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-4o-mini is API-only and cannot be self-hosted.

How much cheaper is Gemma 4 26B A4B?

Gemma 4 26B A4B costs $0.34/M output vs $0.6/M for GPT-4o-mini — roughly 2x cheaper via API, and free if you self-host.

Gemma 4 26B A4B vs GPT-4o-mini — which should I pick in 2026?

Choose Gemma 4 26B A4B if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-4o-mini if you want frontier capability through a managed API with zero infrastructure to run.

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