| Signal | Gemini 2.5 Flash | Delta | Llama 3.1 405B (base) |
|---|---|---|---|
Capabilities | 83 | +67 | |
Benchmarks | 75 | +75 | |
Pricing | 3 | -1 | |
Context window size | 96 | +24 | |
Recency | 82 | +58 | |
Output Capacity | 80 | +5 | |
| Overall Result | 5 wins | of 6 | 1 wins |
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Meta
Gemini 2.5 Flash saves you $445.00/month
That's $5340.00/year compared to Llama 3.1 405B (base) at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Flash | Llama 3.1 405B (base) | Winner |
|---|---|---|---|
| Overall Score | 80 | 39 | Gemini 2.5 Flash |
| Rank | #76 | #288 | Gemini 2.5 Flash |
| Quality Rank | #76 | #288 | Gemini 2.5 Flash |
| Adoption Rank | #76 | #288 | Gemini 2.5 Flash |
| Parameters | -- | 405B | -- |
| Context Window | 1049K | 33K | Gemini 2.5 Flash |
| Pricing | $0.30/$2.50/M | $4.00/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 17 | Gemini 2.5 Flash |
| Benchmarks | 75 | -- | Gemini 2.5 Flash |
| Pricing | 3 | 4 | Llama 3.1 405B (base) |
| Context window size | 96 | 72 | Gemini 2.5 Flash |
| Recency | 82 | 24 | Gemini 2.5 Flash |
| Output Capacity | 80 | 75 | Gemini 2.5 Flash |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 80/100 (rank #76), placing it in the top 74% of all 290 models tracked.
Scores 39/100 (rank #288), placing it in the top 1% of all 290 models tracked.
Gemini 2.5 Flash has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Gemini 2.5 Flash offers 65% better value per quality point. At 1M tokens/day, you'd spend $42.00/month with Gemini 2.5 Flash vs $120.00/month with Llama 3.1 405B (base) - a $78.00 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. Gemini 2.5 Flash 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 ($2.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (80/100) 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
Gemini 2.5 Flash clearly outperforms Llama 3.1 405B (base) with a significant 41.49999999999999-point lead. For most general use cases, Gemini 2.5 Flash is the stronger choice. However, Llama 3.1 405B (base) may still excel in niche scenarios.
Best for Quality
Gemini 2.5 Flash
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 2.5 Flash
65% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Flash
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Flash
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Flash
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Flash | Llama 3.1 405B (base) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
Gemini 2.5 Flash saves you $8.46/month
That's 71% cheaper than Llama 3.1 405B (base) 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 | Gemini 2.5 Flash | Llama 3.1 405B (base) |
|---|---|---|
| Context Window | 1.0M | 33K |
| Max Output Tokens | 65,535 | 32,768 |
| Open Source | No | Yes |
| Created | Jun 17, 2025 | Aug 2, 2024 |
Gemini 2.5 Flash scores 80/100 (rank #76) compared to Llama 3.1 405B (base)'s 39/100 (rank #288), giving it a 41-point advantage. Gemini 2.5 Flash is the stronger overall choice, though Llama 3.1 405B (base) may excel in specific areas like certain benchmarks.
Gemini 2.5 Flash is ranked #76 and Llama 3.1 405B (base) is ranked #288 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Gemini 2.5 Flash is cheaper at $2.50/M output tokens vs Llama 3.1 405B (base)'s $4.00/M output tokens - 1.6x more expensive. Input token pricing: Gemini 2.5 Flash at $0.30/M vs Llama 3.1 405B (base) at $4.00/M.
Gemini 2.5 Flash has a larger context window of 1,048,576 tokens compared to Llama 3.1 405B (base)'s 32,768 tokens. A larger context window means the model can process longer documents and conversations.