Grok 4 vs Gemma 4 26B A4B
Head-to-head specifications
| Metric | Grok 4 | Gemma 4 26B A4B | Difference |
|---|---|---|---|
| Intelligence Index | 34.0 | 25.0 | +36.0% |
| Context window | 400K tokens | 400K tokens | — |
| Blended price ($/1M tokens) | $1.68 | $0.13 | +1,192.3% |
| Access | Proprietary API | Open weights | — |
- Grok 4 leads overall capability (Intelligence Index 34.0 vs 25.0).
- Gemma 4 26B A4B is the cheaper model to run at $0.13/1M blended tokens — about 12.9× cheaper.
Verdict: Grok 4 or Gemma 4 26B A4B?
Grok 4 advantages
- General intelligence (+26%)
Gemma 4 26B A4B advantages
- Affordability (+92%)
Which should you choose?
- Choose the Grok 4 if you need the strongest overall reasoning and accuracy.
- Choose the Gemma 4 26B A4B if you want the lowest cost per token at scale.
Value for money
Gemma 4 26B A4B offers more intelligence per dollar (9.5× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use. It is also open-weight, so self-hosting can reduce costs further at scale.
Grok 4 vs Gemma 4 26B A4B: which should you choose?
Grok 4 — xAI multimodal model with an Intelligence Index of 34, a 400K-token context window and a blended price of $1.68/1M tokens.
Gemma 4 26B A4B — Google text model with an Intelligence Index of 25, a 400K-token context window and a blended price of $0.13/1M tokens (open weights).
Grok 4 vs Gemma 4 26B A4B: Grok 4 scores higher on the Intelligence Index. Grok 4 leads overall capability (Intelligence Index 34.0 vs 25.0). Gemma 4 26B A4B is the cheaper model to run at $0.13/1M blended tokens — about 12.9× cheaper.
Capability: intelligence, coding and agentic work
On the composite Intelligence Index the Grok 4 scores 34.0 versus 25.0. Composite indices summarize many evaluations, but always test on your own workload before committing.
Context window and speed
The Grok 4 accepts up to 400K tokens per request, which sets how much documentation, transcript or code it can reason over at once.
Pricing and access
At blended per-token rates, Gemma 4 26B A4B is the cheaper model to run ($0.13 vs $1.68 per 1M tokens). Grok 4 is proprietary api and Gemma 4 26B A4B is open weights. Open-weight models can be self-hosted, trading per-call cost for infrastructure you manage; for production also weigh rate limits, throughput and data-residency requirements.
The verdict
Both are credible choices in the ai model comparison space; the specification table above lays out every metric so you can weigh the trade-offs that matter to you. Pick the one whose strengths line up with how you will actually use it.
Frequently asked questions
Is the Grok 4 better than the Gemma 4 26B A4B?
These two are closely matched — the right pick comes down to which specific strengths you value and the price you actually pay. Grok 4 leads overall capability (Intelligence Index 34.0 vs 25.0).
What is the main difference between the Grok 4 and the Gemma 4 26B A4B?
Grok 4 leads overall capability (Intelligence Index 34.0 vs 25.0). Gemma 4 26B A4B is the cheaper model to run at $0.13/1M blended tokens — about 12.9× cheaper.
Which is better value?
Gemma 4 26B A4B offers more intelligence per dollar (9.5× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use. It is also open-weight, so self-hosting can reduce costs further at scale.
Which should I choose?
Choose the Grok 4 if you need the strongest overall reasoning and accuracy. Choose the Gemma 4 26B A4B if you want the lowest cost per token at scale.
Methodology
Large language models are compared on independent leaderboard metrics: an Intelligence Index (a composite of reasoning and knowledge evaluations), Coding and Agentic indices where measured, community arena Elo, maximum context window, a blended API price per million tokens (weighted across cache-hit, input and output rates), and measured output speed in tokens per second. Where a model ships multiple reasoning-effort variants, we report its strongest variant. Benchmarks capture only part of real-world quality, which also depends on tool use, latency, safety and task fit — and this space moves quickly, so figures reflect the leaderboard snapshot on the page date.