Imran Khan

Updated May 2026

LLM Leaderboard 2026

Independent ranking of GPT, Claude, Gemini, DeepSeek, Kimi and 300+ models — composite score updated from llm-stats.com benchmarks and live API metrics.

Current leaders

🧠Best reasoningClaude Mythos Preview94.6% GPQA
💻Best codingGemini 3.1 Pro#1 Code Arena
💰Cheapest top-10Kimi K2.6$0.95 / M tok
Fastest outputMercury 21637 tok/s
📄Longest contextLlama 4 Scout10.0 M tokens
🔓Best open-weightsKimi K2.690.5% GPQA

Full Leaderboard

Top 20 models
#ModelLLM StatsReasoningCodingAgentCode ArenaContextSpeedPricing $/MLicense
1
Claude Mythos PreviewPreview
Anthropic
70.171.357.348.8$36.11Prop.
2
GPT-5.5New
OpenAI
64.062.953.144.01,2671.1M124c/s$7.78Prop.
3
Claude Opus 4.7
Anthropic
61.162.751.642.31,8371.0M63c/s$7.22Prop.
4
GPT-5.4
OpenAI
61.057.944.337.81,7171.0M224c/s$3.89Prop.
5
GPT-5.2 Pro
OpenAI
61.056.529.9400K$37.33Prop.
6
Kimi K2.6New
Moonshot AI
58.759.545.638.71,224262K40c/s$1.29Open
7
Gemini 3.1 Pro
Google
57.859.044.133.82,0931.0M$3.89Prop.
8
Claude Opus 4.6
Anthropic
57.559.945.638.12,0031.0M99c/s$7.22Prop.
9
Seed 2.0 Pro
ByteDance
56.654.533.329.3Prop.
10
GPT-5.2
OpenAI
56.154.235.726.41,520400K173c/s$3.11Prop.
11
Gemini 3 Pro
Google
56.050.233.424.11,579Prop.
12
Gemini 3 Flash
Google
54.749.731.525.61,6891.0M300c/s$0.78Prop.
13
GPT-5.1 Instant
OpenAI
54.649.631.3777400K209c/s$2.22Prop.
14
GPT-5.1
OpenAI
53.348.031.81,225400K447c/s$2.22Prop.
15
GPT-5 Medium
OpenAI
53.144.31,095400K100c/s$2.22Prop.
16
Muse Spark
Meta
53.053.032.925.0Prop.
17
GPT-5.1 High
OpenAI
52.052.91,140Prop.
18
DeepSeek-V4-Pro-MaxNew
DeepSeek
51.957.745.036.85051.0M53c/s$1.93Open
19
GPT-5.1 Thinking
OpenAI
51.846.230.81,004400K156c/s$2.22Prop.
20
Qwen3.6 Plus
Alibaba Cloud
51.152.443.331.91.0M$0.78Prop.

Source: llm-stats.com. Data refreshed on every page load.

Benchmark Glossary

LLM Stats Score

Composite score blending GPQA Diamond, SWE-Bench Verified, coding-arena ELO, output throughput, and per-token pricing into a single comparable number.

GPQA Diamond

Graduate-level science questions curated by domain experts. Tests advanced multi-step reasoning across physics, chemistry, and biology.

SWE-Bench Verified

Real GitHub issues from popular Python repos that the model must resolve end-to-end. Measures agentic software-engineering ability.

Coding Arena

Head-to-head ELO rating from pairwise coding task evaluations. Higher score means consistently preferred code output vs. competing models.

Context Window

Maximum tokens the model can process in a single request, combining input, tool calls, and output. Larger windows support longer documents and conversations.

Speed (tok/s)

Output throughput measured as tokens per second via the provider's public API, averaged over a 7-day rolling window. Crucial for streaming UIs and agentic loops.