| Signal | Gemma 4 26B A4B | Delta | o3 Deep Research |
|---|---|---|---|
Capabilities | 83 | -17 | |
Benchmarks | 72 | -17 | |
Pricing | 100 | +40 | |
Context window size | 86 | +2 | |
Recency | 100 | +6 | |
Output Capacity | 20 | -63 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
73
current score
o3 Deep Research
right now
86.7
current score
OpenAI
Gemma 4 26B A4B saves you $2977.50/month
That's $35730.00/year compared to o3 Deep Research at your current usage level of 100K calls/month.
| Metric | Gemma 4 26B A4B | o3 Deep Research | Winner |
|---|---|---|---|
| Overall Score | 73 | 87 | o3 Deep Research |
| Rank | #75 | #21 | o3 Deep Research |
| Quality Rank | #75 | #21 | o3 Deep Research |
| Adoption Rank | #75 | #21 | o3 Deep Research |
| Parameters | 26B | -- | -- |
| Context Window | 262K | 200K | Gemma 4 26B A4B |
| Pricing | $0.06/$0.33/M | $10.00/$40.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | o3 Deep Research |
| Benchmarks | 72 | 88 | o3 Deep Research |
| Pricing | 100 | 60 | Gemma 4 26B A4B |
| Context window size | 86 | 84 | Gemma 4 26B A4B |
| Recency | 100 | 94 | Gemma 4 26B A4B |
| Output Capacity | 20 | 83 | o3 Deep Research |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 73/100 (rank #75), placing it in the top 74% of all 290 models tracked.
Scores 87/100 (rank #21), placing it in the top 93% of all 290 models tracked.
o3 Deep Research has a 14-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemma 4 26B A4B offers 99% better value per quality point. At 1M tokens/day, you'd spend $5.85/month with Gemma 4 26B A4B vs $750.00/month with o3 Deep Research - a $744.15 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Gemma 4 26B A4B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.33/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (87/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
o3 Deep Research clearly outperforms Gemma 4 26B A4B with a significant 13.700000000000003-point lead. For most general use cases, o3 Deep Research is the stronger choice. However, Gemma 4 26B A4B may still excel in niche scenarios.
Best for Quality
Gemma 4 26B A4B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 26B A4B
99% lower pricing; better value at scale
Best for Reliability
Gemma 4 26B A4B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 4 26B A4B
Stronger community support and better developer experience
Best for Production
Gemma 4 26B A4B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 4 26B A4B | o3 Deep Research |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Gemma 4 26B A4B saves you $65.50/month
That's 99% cheaper than o3 Deep Research at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemma 4 26B A4B | o3 Deep Research |
|---|---|---|
| Context Window | 262K | 200K |
| Max Output Tokens | -- | 100,000 |
| Open Source | Yes | No |
| Created | Apr 3, 2026 | Oct 10, 2025 |