| Signal | Claude Opus 4.6 | Delta | Gemma 4 31B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 87 | +1 | |
Pricing | 75 | -25 | |
Context window size | 95 | +9 | |
Recency | 100 | -- | |
Output Capacity | 85 | 0 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
87.9
current score
Claude Opus 4.6
right now
86
current score
Anthropic
Gemma 4 31B saves you $1716.00/month
That's $20592.00/year compared to Claude Opus 4.6 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4.6 | Gemma 4 31B | Winner |
|---|---|---|---|
| Overall Score | 88 | 86 | Claude Opus 4.6 |
| Rank | #11 | #14 | Claude Opus 4.6 |
| Quality Rank | #11 | #14 | Claude Opus 4.6 |
| Adoption Rank | #11 | #14 | Claude Opus 4.6 |
| Parameters | -- | 31B | -- |
| Context Window | 1000K | 262K | Claude Opus 4.6 |
| Pricing | $5.00/$25.00/M | $0.14/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Claude Opus 4.6 |
| Benchmarks | 87 | 86 | Claude Opus 4.6 |
| Pricing | 75 | 100 | Gemma 4 31B |
| Context window size | 95 | 86 | Claude Opus 4.6 |
| Recency | 100 | 100 | Claude Opus 4.6 |
| Output Capacity | 85 | 85 | Gemma 4 31B |
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%). Here's what the scores mean for these two models:
Scores 88/100 (rank #11), placing it in the top 97% of all 290 models tracked.
Scores 86/100 (rank #14), placing it in the top 96% of all 290 models tracked.
With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Gemma 4 31B offers 98% better value per quality point. At 1M tokens/day, you'd spend $8.10/month with Gemma 4 31B vs $450.00/month with Claude Opus 4.6 - a $441.90 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Gemma 4 31B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (88/100) 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
Claude Opus 4.6 and Gemma 4 31B are extremely close in overall performance (only 1.9000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude Opus 4.6
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 31B
98% lower pricing; better value at scale
Best for Reliability
Claude Opus 4.6
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4.6
Stronger community support and better developer experience
Best for Production
Claude Opus 4.6
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4.6 | Gemma 4 31B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Gemma 4 31B saves you $38.27/month
That's 98% cheaper than Claude Opus 4.6 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 | Claude Opus 4.6 | Gemma 4 31B |
|---|---|---|
| Context Window | 1M | 262K |
| Max Output Tokens | 128,000 | 131,072 |
| Open Source | No | Yes |
| Created | Feb 4, 2026 | Apr 2, 2026 |
Claude Opus 4.6 scores 88/100 (rank #11) compared to Gemma 4 31B's 86/100 (rank #14), giving it a 2-point advantage. Claude Opus 4.6 is the stronger overall choice, though Gemma 4 31B may excel in specific areas like cost efficiency.
Claude Opus 4.6 is ranked #11 and Gemma 4 31B is ranked #14 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Gemma 4 31B is cheaper at $0.40/M output tokens vs Claude Opus 4.6's $25.00/M output tokens - 62.5x more expensive. Input token pricing: Claude Opus 4.6 at $5.00/M vs Gemma 4 31B at $0.14/M.
Claude Opus 4.6 has a larger context window of 1,000,000 tokens compared to Gemma 4 31B's 262,144 tokens. A larger context window means the model can process longer documents and conversations.