| Signal | Gemma 2 27B | Delta | GPT-5.1-Codex |
|---|---|---|---|
Capabilities | 33 | -50 | |
Benchmarks | 83 | -5 | |
Pricing | 99 | +9 | |
Context window size | 62 | -27 | |
Recency | 12 | -88 | |
Output Capacity | 55 | -30 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
77.4
current score
GPT-5.1-Codex
right now
87
current score
OpenAI
Gemma 2 27B saves you $527.50/month
That's $6330.00/year compared to GPT-5.1-Codex at your current usage level of 100K calls/month.
| Metric | Gemma 2 27B | GPT-5.1-Codex | Winner |
|---|---|---|---|
| Overall Score | 77 | 87 | GPT-5.1-Codex |
| Rank | #54 | #19 | GPT-5.1-Codex |
| Quality Rank | #54 | #19 | GPT-5.1-Codex |
| Adoption Rank | #54 | #19 | GPT-5.1-Codex |
| Parameters | 27B | -- | -- |
| Context Window | 8K | 400K | GPT-5.1-Codex |
| Pricing | $0.65/$0.65/M | $1.25/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 83 | GPT-5.1-Codex |
| Benchmarks | 83 | 88 | GPT-5.1-Codex |
| Pricing | 99 | 90 | Gemma 2 27B |
| Context window size | 62 | 89 | GPT-5.1-Codex |
| Recency | 12 | 100 | GPT-5.1-Codex |
| Output Capacity | 55 | 85 | GPT-5.1-Codex |
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 77/100 (rank #54), placing it in the top 82% of all 290 models tracked.
Scores 87/100 (rank #19), placing it in the top 94% of all 290 models tracked.
GPT-5.1-Codex has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemma 2 27B offers 88% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with Gemma 2 27B vs $168.75/month with GPT-5.1-Codex - a $149.25 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 2 27B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.65/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
GPT-5.1-Codex has a moderate advantage with a 9.599999999999994-point lead in composite score. It wins on more signal dimensions, but Gemma 2 27B has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Gemma 2 27B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 2 27B
88% lower pricing; better value at scale
Best for Reliability
Gemma 2 27B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 2 27B
Stronger community support and better developer experience
Best for Production
Gemma 2 27B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 2 27B | GPT-5.1-Codex |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
Gemma 2 27B saves you $12.30/month
That's 86% cheaper than GPT-5.1-Codex 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 2 27B | GPT-5.1-Codex |
|---|---|---|
| Context Window | 8K | 400K |
| Max Output Tokens | 2,048 | 128,000 |
| Open Source | Yes | No |
| Created | Jul 13, 2024 | Nov 13, 2025 |