CLAUDE vs GPT vs GEMINI

Real-time AI model comparison with comprehensive benchmark results

[→] CURRENT PERFORMANCE LEADERS (2026)

Benchmarks re-run every 4 hours and the order genuinely changes, so we do not freeze a winner into this page — a hardcoded list here would be wrong within weeks. Each category below links to the live sort, which is the authoritative answer:

Best for Coding: View live → — ranked by the executed-code benchmark: correctness, complexity, debugging

Best for Reasoning: View live → — ranked by the multi-turn deep-reasoning suite

Fastest Response: View live → — ranked by measured end-to-end API latency

Best Value: View live → — ranked by score against list price per token

Best at Tool Calling: View live → — ranked by the Docker-sandbox agent suite

[→] DETAILED COMPARISON MATRIX

Our 9-axis scoring methodology provides comprehensive insights into each model's strengths:

ANTHROPIC CLAUDE

Opus: The heavyweight line — strongest on complex reasoning and code architecture

Sonnet / Fable: Faster, cheaper lines that stay close to Opus on ordinary coding work

Typically strong at: Code quality, debugging, tool calling

Models tracked: The largest family on our leaderboard

OPENAI GPT

GPT-5.x: The flagship line, several variants tuned differently

Codex: Coding-specialised variant, frequently at or near the top of our combined ranking

Typically strong at: Correctness and reasoning consistency

Models tracked: Second-largest family on our leaderboard

GOOGLE GEMINI

Gemini Pro: High-performance line with multimodal capabilities

Gemini Flash / Flash-Lite: Speed-optimised variants for high-throughput work

Typically strong at: Latency and price-per-token

Best for: High-throughput and cost-sensitive workloads

DEEPSEEK

V4 Pro / V4 Flash: Open-weight-derived line that scores competitively on reasoning

Typically strong at: Reasoning score relative to cost

Best for: Analysis and reasoning work on a budget

MOONSHOT KIMI

K3 / K2.x Code: Long-context line with a coding-specialised variant

Typically strong at: Long-context retention and coding tasks

Best for: Large-codebase and long-document work

ZHIPU GLM

GLM 5.x: Competitively priced general-purpose line

Typically strong at: Cost efficiency

Best for: Volume workloads where price dominates

[→] WHICH AI MODEL IS BEST FOR CODING?

The honest answer is “it depends, and it changed since you asked”. What we can tell you is how to read the data rather than which name to trust this month:

Check the confidence intervals first — the top few models are usually separated by less than their error bars, which means the ranking order between them is not statistically meaningful

Sort by the axis you actually care about — the coding, reasoning, speed, price and tool-calling sorts produce genuinely different orders

Watch the drift alerts, not just the score — a model that is quietly degrading is a worse bet than one scoring slightly lower but holding steady

[→] REAL-TIME BENCHMARK RESULTS

Our AI benchmark tool continuously monitors all models with hourly test cycles. Key metrics include:

Correctness (55%)

Code is executed against the task’s tests — including, on repo tasks, tests the model never sees

Complexity (20%)

Whether the model actually grasped the algorithmic problem

Code Quality (15%)

Static analysis, structure, maintainability

Stability (10%)

Consistency across the 7 trials of each task

Efficiency (5%)

Algorithmic complexity of the solution produced

Edge Cases, Debugging, Format, Safety

The remaining 10%: boundary handling, fixing broken code, output discipline, and avoiding dangerous operations

[→] METHODOLOGY AND TRANSPARENCY

Our AI model comparison uses identical test conditions for fair evaluation:

→Repo debugging tasks graded on hidden tests, executed not just graded

→Standardized temperature (0.3) and parameters for consistent results

→Multiple test runs with median scoring to eliminate outliers

→Real production API calls with actual latency and token measurements

→Independent verification by running the same suites with your own API keys

Read our detailed methodology to understand how we measure AI performance, or check our FAQ for common questions about our benchmarking approach.

SEE LIVE RESULTS

View real-time Claude vs GPT vs Gemini performance data with our interactive AI benchmark dashboard

VIEW LIVE RESULTS →ABOUT US →

AI Stupid Level • Continuous benchmarking since 2025 • View Full Rankings