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Claude Opus 4.7 vs Gemini 3.1 Flash Lite

Claude Opus 4.7

Anthropic

95#5
vs
Signal-by-Signal Comparison
SignalClaude Opus 4.7DeltaGemini 3.1 Flash Lite
Capabilities
100
--
100
Benchmarks
93
+93
0
Pricing
75
-23
99
Context window size
86
0
86
Recency
100
--
100
Output Capacity
85
+5
80
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (15 data points)
Claude Opus 4.7Gemini 3.1 Flash Lite
Claude Opus 4.7

94.7

current score

Leader

Claude Opus 4.7

right now

Gemini 3.1 Flash Lite

23.1

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Claude Opus 4.7

Anthropic

Per request$0.017500
Daily$58.33
Monthly$1750.00
Annual$21000.00

Gemini 3.1 Flash Lite

Google

Best Value
Per request$0.001000
Daily$3.33
Monthly$100.00
Annual$1200.00

Gemini 3.1 Flash Lite 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.

94% cheaper
Choose Gemini 3.1 Flash Lite for cost optimization

Claude Opus 4.7 pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
Gemini 3.1 Flash Lite pricing:
Input:$0.25/M tokens
Output:$1.50/M tokens
Winner
Claude Opus 4.7

Anthropic

95

Composite Score

Gemini 3.1 Flash Lite

Google

23

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.7Gemini 3.1 Flash LiteWinner
Overall Score
95
23
Claude Opus 4.7
Rank#5#315
Claude Opus 4.7
Quality Rank#5#315
Claude Opus 4.7
Adoption Rank#5#315
Claude Opus 4.7
Parameters------
Context Window1000K1049K
Gemini 3.1 Flash Lite
Pricing$5.00/$25.00/M$0.25/$1.50/M--
Signal Scores
Capabilities
100
100
Claude Opus 4.7
Benchmarks
93
--
Claude Opus 4.7
Pricing
75
99
Gemini 3.1 Flash Lite
Context window size
86
86
Gemini 3.1 Flash Lite
Recency
100
100
Claude Opus 4.7
Output Capacity
85
80
Claude Opus 4.7
Benchmark Head-to-Head(4 benchmarks)
Claude Opus: 1Gemini 3.1: 0
Claude Opus
Gemini 3.1
Normalized 0-100%
GPQA Diamond
94.2%-
SWE-bench Verified
87.6%-
Arena Elo
1491-
HLE
46.9%8.64%
Benchmark Interpretation

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.

Claude Opus 4.7Elite Tier

Scores 95/100 (rank #5), placing it in the top 99% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemini 3.1 Flash LiteLimited

Scores 23/100 (rank #315), placing it in the top -8% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Claude Opus 4.7 has a 72-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Claude Opus 4.7 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose Gemini 3.1 Flash Lite when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Opus 4.7
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.317
Est. monthly (1M tokens/day)$450.00
Gemini 3.1 Flash LiteBest Value
Input cost$0.25/M tokens
Output cost$1.50/M tokens
Cost per quality point$0.076
Est. monthly (1M tokens/day)$26.25

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 4.7 - a $423.75 monthly difference.

Latency & Speed
Claude Opus 4.7Faster
Speed score0/100
Gemini 3.1 Flash Lite
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Claude Opus 4.7

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

Claude Opus 4.7

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 3.1 Flash Lite

Batch data extraction

Lower output pricing ($1.50/M) reduces costs when processing thousands of records daily

Gemini 3.1 Flash Lite

Creative writing & content

Higher overall composite score (95/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.7

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Claude Opus 4.7
Which Should You Choose?
Our recommendation:
Claude Opus 4.7

Claude Opus 4.7 clearly outperforms Gemini 3.1 Flash Lite with a significant 71.6-point lead. For most general use cases, Claude Opus 4.7 is the stronger choice. However, Gemini 3.1 Flash Lite may still excel in niche scenarios.

Claude Opus 4.7
Recommended

by Anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Google

  • Choose for Cost - 94% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.7Gemini 3.1 Flash Lite
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Opus 4.7

Anthropic

$39.00
estimated monthly cost

Gemini 3.1 Flash Lite

Google

Best Value
$2.25
estimated monthly cost

Gemini 3.1 Flash Lite 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.

Parameters & Context
ParameterClaude Opus 4.7Gemini 3.1 Flash Lite
Context Window1M1.0M
Max Output Tokens128,00065,536
Open SourceNoNo
CreatedApr 16, 2026May 7, 2026
Frequently Asked Questions

Claude Opus 4.7's $25/M output pricing targets enterprise use cases where the 128K max output tokens (nearly 2x Gemini's 66K) enables generation of complete codebases or extensive documentation in single calls. The multimodal advantage of Gemini (supporting audio/video/file inputs) becomes irrelevant for pure code generation tasks, where Claude's doubled output capacity at enterprise scale can justify the premium for teams generating millions of output tokens monthly.

The ranking difference likely reflects real-world usage patterns where Gemini's $0.25/M input pricing (20x cheaper than Claude's $5/M) makes it drastically more viable for high-volume coding workflows like continuous integration pipelines or mass code analysis. With identical 1M token context windows and matching capabilities, the cost efficiency translates directly to ranking advantage when processing large codebases.

Claude Opus 4.7 would cost $100/month ($50 input + $50 output) while Gemini Flash Lite costs just $5.50/month ($2.50 input + $3 output) - an 18x difference. Despite identical coding scores of 66/100, the $94.50 monthly savings with Gemini makes Claude's 128K max output advantage meaningless for typical code review responses that rarely exceed 10K tokens.

Claude's 128K output limit enables single-shot generation of entire microservice implementations or comprehensive API documentation that would require multiple calls with Gemini's 66K limit. For enterprise teams where engineer time costs $200+/hour, saving even 15 minutes by avoiding output chunking across 2-3 API calls easily justifies the 16.7x output token premium on million-token volumes.

Google's infrastructure provides native integration with GCP services and likely better global latency, while Anthropic's focused AI-first approach may offer more stable API behavior and faster feature rollouts. With both models lacking open source availability and matching on all capabilities (Vision, Function Calling, JSON Mode, etc.), the choice often reduces to existing cloud commitments rather than the identical 66/100 performance scores.

Last updated: 11m ago

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