| Signal | Claude Opus Latest | Delta | Gemini 3.1 Flash Lite |
|---|---|---|---|
Capabilities | 100 | -- | |
Pricing | 75 | -23 | |
Context window size | 86 | 0 | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 1 wins | of 5 | 2 wins |
Score History
40
current score
Claude Opus Latest
right now
23.1
current score
~anthropic
Gemini 3.1 Flash Lite saves you $1650.00/month
That's $19800.00/year compared to Claude Opus Latest at your current usage level of 100K calls/month.
| Metric | Claude Opus Latest | Gemini 3.1 Flash Lite | Winner |
|---|---|---|---|
| Overall Score | 40 | 23 | Claude Opus Latest |
| Rank | #197 | #317 | Claude Opus Latest |
| Quality Rank | #197 | #317 | Claude Opus Latest |
| Adoption Rank | #197 | #317 | Claude Opus Latest |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1049K | Gemini 3.1 Flash Lite |
| Pricing | $5.00/$25.00/M | $0.25/$1.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Opus Latest |
| Pricing | 75 | 99 | Gemini 3.1 Flash Lite |
| Context window size | 86 | 86 | Gemini 3.1 Flash Lite |
| Recency | 100 | 100 | Claude Opus Latest |
| Output Capacity | 85 | 80 | Claude Opus 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 #197), placing it in the top 32% of all 290 models tracked.
Scores 23/100 (rank #317), placing it in the top -9% of all 290 models tracked.
Claude Opus Latest has a 17-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Gemini 3.1 Flash Lite offers 94% better value per quality point. At 1M tokens/day, you'd spend $26.25/month with Gemini 3.1 Flash Lite vs $450.00/month with Claude Opus Latest - 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 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 (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
Claude Opus Latest clearly outperforms Gemini 3.1 Flash Lite with a significant 16.9-point lead. For most general use cases, Claude Opus Latest is the stronger choice. However, Gemini 3.1 Flash Lite may still excel in niche scenarios.
Best for Quality
Claude Opus Latest
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 3.1 Flash Lite
94% lower pricing; better value at scale
Best for Reliability
Claude Opus Latest
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus Latest
Stronger community support and better developer experience
Best for Production
Claude Opus Latest
Wider enterprise adoption and proven at scale
by ~anthropic
| Capability | Claude Opus Latest | 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 $36.75/month
That's 94% cheaper than Claude Opus 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 | Claude Opus Latest | Gemini 3.1 Flash Lite |
|---|---|---|
| Context Window | 1M | 1.0M |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | No |
| Created | Apr 21, 2026 | May 7, 2026 |
The ranking difference likely reflects performance consistency across different coding benchmarks where Gemini 3.1 Flash Lite edges out Claude Opus Latest in specific subtests. With both models tied at 66/100, the #12 vs #14 ranking suggests Gemini performs marginally better on the specific coding tasks that matter most to the 340-model leaderboard methodology.
For high-volume code generation tasks, Claude Opus Latest's premium pricing becomes prohibitive - generating 10M output tokens costs $250 vs Gemini's $15. However, Claude's 128K max output tokens (nearly 2x Gemini's 66K) enables generating entire codebases in single requests, which could justify the cost for complex architectural prototyping or one-shot implementations where context preservation matters more than per-token economics.
While both models share identical coding capabilities (Vision, Function Calling, JSON Mode), Gemini's audio/video processing enables unique workflows like narrating code walkthroughs or analyzing screen recordings of bugs - features Claude cannot match. For teams doing code reviews via recorded demos or building voice-controlled development tools, Gemini's multimodal advantage at 1/20th the input cost ($0.25/M vs $5/M) makes it the clear choice.
Despite matching 1M token contexts, Claude Opus Latest's 128K output limit allows generating comprehensive refactoring reports that Gemini's 66K limit might truncate mid-analysis. For a 500K token codebase review, Claude can produce detailed outputs worth its $25/M output premium, while Gemini users must chain multiple 66K requests, potentially losing context between calls.
Migration makes immediate sense for read-heavy workloads - analyzing 100M input tokens costs $5,000 with Claude vs $25 with Gemini, both delivering identical 66/100 performance. The only holdout scenarios are when you need Claude's 128K output capacity for massive code generation or when you're deeply integrated with Anthropic's ecosystem and switching providers would break existing workflows.