| Signal | Claude Sonnet 4.6 | Delta | Gemini 3.1 Flash Lite |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 82 | +82 | |
Pricing | 85 | -13 | |
Context window size | 86 | 0 | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
84.7
current score
Claude Sonnet 4.6
right now
23.1
current score
Anthropic
Gemini 3.1 Flash Lite saves you $950.00/month
That's $11400.00/year compared to Claude Sonnet 4.6 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4.6 | Gemini 3.1 Flash Lite | Winner |
|---|---|---|---|
| Overall Score | 85 | 23 | Claude Sonnet 4.6 |
| Rank | #34 | #314 | Claude Sonnet 4.6 |
| Quality Rank | #34 | #314 | Claude Sonnet 4.6 |
| Adoption Rank | #34 | #314 | Claude Sonnet 4.6 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1049K | Gemini 3.1 Flash Lite |
| Pricing | $3.00/$15.00/M | $0.25/$1.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Sonnet 4.6 |
| Benchmarks | 82 | -- | Claude Sonnet 4.6 |
| Pricing | 85 | 99 | Gemini 3.1 Flash Lite |
| Context window size | 86 | 86 | Gemini 3.1 Flash Lite |
| Recency | 100 | 100 | Claude Sonnet 4.6 |
| Output Capacity | 85 | 80 | Claude Sonnet 4.6 |
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 85/100 (rank #34), placing it in the top 89% of all 290 models tracked.
Scores 23/100 (rank #314), placing it in the top -8% of all 290 models tracked.
Claude Sonnet 4.6 has a 62-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Gemini 3.1 Flash Lite offers 90% better value per quality point. At 1M tokens/day, you'd spend $26.25/month with Gemini 3.1 Flash Lite vs $270.00/month with Claude Sonnet 4.6 - a $243.75 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. Gemini 3.1 Flash Lite 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 ($1.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (85/100) 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 Sonnet 4.6 clearly outperforms Gemini 3.1 Flash Lite with a significant 61.6-point lead. For most general use cases, Claude Sonnet 4.6 is the stronger choice. However, Gemini 3.1 Flash Lite may still excel in niche scenarios.
Best for Quality
Claude Sonnet 4.6
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 3.1 Flash Lite
90% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4.6
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4.6
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4.6
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4.6 | Gemini 3.1 Flash Lite |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
Gemini 3.1 Flash Lite saves you $21.15/month
That's 90% cheaper than Claude Sonnet 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 Sonnet 4.6 | Gemini 3.1 Flash Lite |
|---|---|---|
| Context Window | 1M | 1.0M |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | No |
| Created | Feb 17, 2026 | May 7, 2026 |
The 10x price premium reflects Anthropic's positioning of Claude Sonnet as a premium coding model with 93% higher max output capacity (128K vs 66K tokens). Despite identical 66/100 scores in coding benchmarks, Claude's 3-position ranking advantage (#9 vs #12) suggests marginal performance gains in specific coding tasks that may justify the premium for applications requiring extensive code generation or refactoring.
Claude would cost $540/month ($240 input + $300 output) versus Gemini's $50/month ($20 input + $30 output) - a $490 monthly difference. This 10.8x total cost multiplier makes Gemini the clear choice for high-volume applications unless you specifically need Claude's 2x larger max output window (128K vs 66K tokens) for generating lengthy code files or documentation.
The identical scores reveal that multimodal inputs provide no measurable advantage for pure coding tasks - both models achieve 66/100 using their shared capabilities of vision, function calling, and JSON mode. Gemini's audio/video processing adds zero value for code generation, making its 10x lower pricing ($1.5/M vs $15/M output) the more relevant differentiator for coding-specific workloads.
Claude's 93% larger max output capacity (128K vs 66K tokens) and #9 ranking (vs #12) justify the 10x price premium only for generating complete codebases, extensive refactoring PRs, or detailed technical documentation exceeding 66K tokens. For typical coding tasks under 66K tokens output, Gemini delivers identical capabilities at $1.5/M output versus Claude's $15/M, making Claude a poor value proposition for standard development workflows.
Despite identical 66/100 scores and capability sets, Google's ecosystem offers 12x lower input costs ($0.25/M vs $3/M) and native integration with GCP services, while Anthropic provides 93% more output capacity (128K vs 66K tokens) but requires separate infrastructure. The 3-position ranking gap favoring Claude (#9 vs #12) suggests marginally better code quality that rarely justifies the 10x output price premium for teams already invested in Google's ecosystem.