| Signal | Claude Opus 4.7 | Delta | Gemini 3.1 Flash Lite Preview |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 93 | +15 | |
Pricing | 75 | -23 | |
Context window size | 86 | 0 | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
94.7
current score
Claude Opus 4.7
right now
78.9
current score
Anthropic
Gemini 3.1 Flash Lite Preview saves you $1650.00/month
That's $19800.00/year compared to Claude Opus 4.7 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4.7 | Gemini 3.1 Flash Lite Preview | Winner |
|---|---|---|---|
| Overall Score | 95 | 79 | Claude Opus 4.7 |
| Rank | #3 | #49 | Claude Opus 4.7 |
| Quality Rank | #3 | #49 | Claude Opus 4.7 |
| Adoption Rank | #3 | #49 | Claude Opus 4.7 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1049K | Gemini 3.1 Flash Lite Preview |
| Pricing | $5.00/$25.00/M | $0.25/$1.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Opus 4.7 |
| Benchmarks | 93 | 79 | Claude Opus 4.7 |
| Pricing | 75 | 99 | Gemini 3.1 Flash Lite Preview |
| Context window size | 86 | 86 | Gemini 3.1 Flash Lite Preview |
| Recency | 100 | 100 | Claude Opus 4.7 |
| Output Capacity | 85 | 80 | Claude Opus 4.7 |
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 95/100 (rank #3), placing it in the top 99% of all 290 models tracked.
Scores 79/100 (rank #49), placing it in the top 83% of all 290 models tracked.
Claude Opus 4.7 has a 16-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Gemini 3.1 Flash Lite Preview offers 94% better value per quality point. At 1M tokens/day, you'd spend $26.25/month with Gemini 3.1 Flash Lite Preview vs $450.00/month with Claude Opus 4.7 - a $423.75 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 Preview 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 (95/100) 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 4.7 clearly outperforms Gemini 3.1 Flash Lite Preview with a significant 15.799999999999997-point lead. For most general use cases, Claude Opus 4.7 is the stronger choice. However, Gemini 3.1 Flash Lite Preview may still excel in niche scenarios.
Best for Quality
Claude Opus 4.7
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 3.1 Flash Lite Preview
94% lower pricing; better value at scale
Best for Reliability
Claude Opus 4.7
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4.7
Stronger community support and better developer experience
Best for Production
Claude Opus 4.7
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4.7 | Gemini 3.1 Flash Lite Preview |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
Gemini 3.1 Flash Lite Preview saves you $36.75/month
That's 94% cheaper than Claude Opus 4.7 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 4.7 | Gemini 3.1 Flash Lite Preview |
|---|---|---|
| Context Window | 1M | 1.0M |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | No |
| Created | Apr 16, 2026 | Mar 3, 2026 |
The identical scores suggest diminishing returns at this performance tier, where Claude's premium pricing reflects Anthropic's brand positioning rather than measurable coding advantages. For high-volume coding tasks generating millions of tokens, Gemini's $1.5/M output cost could save $23,500 per million tokens while delivering equivalent performance, making Claude's pricing defensible only for specific enterprise requirements around data governance or existing Anthropic infrastructure.
The ranking difference likely reflects Gemini's superior price-to-performance ratio at 20x lower input costs ($0.25/M vs $5/M) and 16.7x lower output costs, which matters more for real-world deployment decisions than raw scores. Additionally, Gemini's multimodal support for audio and video inputs provides coding-adjacent capabilities like debugging screen recordings or processing voice commands that Claude's text+image limitation cannot match.
The 128K output advantage primarily matters for full codebase generation tasks like creating entire microservices or generating comprehensive test suites, where Gemini would require 2 sequential calls to match Claude's single response. However, with Gemini costing $99 for 66K tokens versus Claude's $3,200 for 128K tokens, developers can afford 32 Gemini calls for the price of one Claude response, making the token limit largely irrelevant except for strict single-response requirements.
Gemini's audio and video support enables debugging workflows impossible with Claude, such as narrating code walkthroughs, processing screen recordings of bugs, or analyzing performance profiling videos at $1.5/M output cost. While both models share core capabilities like function calling and JSON mode, Gemini's broader input modalities make it superior for modern development workflows involving multimedia documentation, despite the identical 66/100 coding scores.
At 10M output tokens monthly, Claude costs $300,000/year versus Gemini's $18,000/year, but Claude's tighter integration with Anthropic's constitutional AI principles and established enterprise support may justify the 16.7x premium for regulated industries. Gemini's Google Cloud integration offers superior scalability and adjacent services like Vertex AI, making the $282,000 annual savings compelling for startups prioritizing runway over specific compliance requirements.