Gemma 4 26B A4B vs Claude Opus 4.8
Head-to-head specifications
| Metric | Gemma 4 26B A4B | Claude Opus 4.8 | Difference |
|---|---|---|---|
| Intelligence Index | 25.0 | 56.0 | -55.4% |
| Coding Index | 39.3 | 74.3 | -47.1% |
| Agentic Index | 11.0 | 47.2 | — |
| Context window | 400K tokens | 1M tokens | — |
| Blended price ($/1M tokens) | $0.13 | $1.38 | -90.6% |
| Output speed (tokens/s) | 54 | 53 | +1.9% |
| Access | Open weights | Proprietary API | — |
- Claude Opus 4.8 leads overall capability (Intelligence Index 56.0 vs 25.0).
- Gemma 4 26B A4B is the cheaper model to run at $0.13/1M blended tokens — about 10.6× cheaper.
- Claude Opus 4.8 offers the larger context window (1M tokens), useful for long documents and codebases.
Verdict: Gemma 4 26B A4B or Claude Opus 4.8?
Gemma 4 26B A4B advantages
- Affordability (+91%)
Claude Opus 4.8 advantages
- General intelligence (+55%)
- Coding ability (+47%)
- Agentic task performance (+77%)
- Context window (+60%)
Which should you choose?
- Choose the Gemma 4 26B A4B if you want the lowest cost per token at scale.
- Choose the Claude Opus 4.8 if you need the strongest overall reasoning and accuracy.
Value for money
Gemma 4 26B A4B offers more intelligence per dollar (4.7× 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.
Gemma 4 26B A4B vs Claude Opus 4.8: which should you choose?
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).
Claude Opus 4.8 — Anthropic multimodal model with an Intelligence Index of 56, a 1M-token context window and a blended price of $1.38/1M tokens.
Gemma 4 26B A4B vs Claude Opus 4.8: Claude Opus 4.8 scores higher on the Intelligence Index. Claude Opus 4.8 leads overall capability (Intelligence Index 56.0 vs 25.0). Gemma 4 26B A4B is the cheaper model to run at $0.13/1M blended tokens — about 10.6× cheaper.
Capability: intelligence, coding and agentic work
On the composite Intelligence Index the Claude Opus 4.8 scores 56.0 versus 25.0. For software development, the Coding Index puts Claude Opus 4.8 ahead (74.3 vs 39.3). On agentic, multi-step tool-use tasks, Claude Opus 4.8 measures stronger. Composite indices summarize many evaluations, but always test on your own workload before committing.
Context window and speed
The Claude Opus 4.8 accepts up to 1 million tokens per request, which sets how much documentation, transcript or code it can reason over at once. In measured throughput, Gemma 4 26B A4B generates faster (54 vs 53 tokens/s), which matters for interactive apps and high-volume pipelines.
Pricing and access
At blended per-token rates, Gemma 4 26B A4B is the cheaper model to run ($0.13 vs $1.38 per 1M tokens). Gemma 4 26B A4B is open weights and Claude Opus 4.8 is proprietary api. 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 Gemma 4 26B A4B better than the Claude Opus 4.8?
Claude Opus 4.8 takes the overall edge, though Gemma 4 26B A4B wins in specific areas worth weighing. Claude Opus 4.8 leads overall capability (Intelligence Index 56.0 vs 25.0).
What is the main difference between the Gemma 4 26B A4B and the Claude Opus 4.8?
Claude Opus 4.8 leads overall capability (Intelligence Index 56.0 vs 25.0). Gemma 4 26B A4B is the cheaper model to run at $0.13/1M blended tokens — about 10.6× cheaper.
Which is better value?
Gemma 4 26B A4B offers more intelligence per dollar (4.7× 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 Gemma 4 26B A4B if you want the lowest cost per token at scale. Choose the Claude Opus 4.8 if you need the strongest overall reasoning and accuracy.
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.