| Signal | Coder Large | Delta | Google Gemini Pro Latest |
|---|---|---|---|
Capabilities | 17 | -83 | |
Pricing | 99 | +11 | |
Context window size | 72 | -24 | |
Recency | 66 | -34 | |
Output Capacity | 20 | -60 | |
| Overall Result | 1 wins | of 5 | 4 wins |
Score History
40
current score
Tied
right now
40
current score
arcee-ai
Coder Large saves you $710.00/month
That's $8520.00/year compared to Google Gemini Pro Latest at your current usage level of 100K calls/month.
| Metric | Coder Large | Google Gemini Pro Latest | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #274 | #193 | Google Gemini Pro Latest |
| Quality Rank | #274 | #193 | Google Gemini Pro Latest |
| Adoption Rank | #274 | #193 | Google Gemini Pro Latest |
| Parameters | -- | -- | -- |
| Context Window | 33K | 1049K | Google Gemini Pro Latest |
| Pricing | $0.50/$0.80/M | $2.00/$12.00/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 100 | Google Gemini Pro Latest |
| Pricing | 99 | 88 | Coder Large |
| Context window size | 72 | 96 | Google Gemini Pro Latest |
| Recency | 66 | 100 | Google Gemini Pro Latest |
| Output Capacity | 20 | 80 | Google Gemini Pro Latest |
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 40/100 (rank #274), placing it in the top 6% of all 290 models tracked.
Scores 40/100 (rank #193), placing it in the top 34% of all 290 models tracked.
With only a 0-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.
Coder Large offers 91% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with Coder Large vs $210.00/month with Google Gemini Pro Latest - a $190.50 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. Coder Large also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.80/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
Coder Large and Google Gemini Pro Latest are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Coder Large
Marginally better benchmark scores; both are excellent
Best for Cost
Coder Large
91% lower pricing; better value at scale
Best for Reliability
Coder Large
Higher uptime and faster response speeds
Best for Prototyping
Coder Large
Stronger community support and better developer experience
Best for Production
Coder Large
Wider enterprise adoption and proven at scale
by arcee-ai
| Capability | Coder Large | Google Gemini Pro Latest |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
arcee-ai
Coder Large saves you $16.14/month
That's 90% cheaper than Google Gemini Pro Latest 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 | Coder Large | Google Gemini Pro Latest |
|---|---|---|
| Context Window | 33K | 1.0M |
| Max Output Tokens | -- | 65,536 |
| Open Source | No | No |
| Created | May 5, 2025 | Apr 27, 2026 |