All
General
Coding
Reasoning
Multimodal
Safety
Specialized
Agentic
Language
Long Context
Speed
Text-to-Image
Image Editing
Text-to-Video
Image-to-Video
Artificial Analysis Coding Index259
Chatbot Arena Coding278
CodeElo
HumanEval
LiveCodeBench343
MBPP
SWE-bench
SWE-bench Verified
SciCode229
Coding
Composite performance across 4 benchmarks · Normalized 0–100 · At least 2 scores required · Ranked by average performance · Top 50 of 239 eligible models
| # | Model | Provider | AA Coding | Arena Coding | LiveCodeBench | SciCode | Avg | Coverage | Price | Value |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) | Anthropic | 81.6 | — | — | 63.1% |
|
2/4 | $60.00/M | 1.6 |
| 2 | Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback) | Anthropic | 80.7 | — | — | 60.9% |
|
2/4 | $60.00/M | 1.6 |
| 3 | Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) | Anthropic | 76.5 | — | — | 61.0% |
|
2/4 | $60.00/M | 1.5 |
| 4 | Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback) | Anthropic | 79.1 | — | — | 58.7% |
|
2/4 | $60.00/M | 1.5 |
| 5 | Muse Spark 1.3 (xhigh) | Meta | 76.5 | — | — | 59.7% |
|
2/4 | $5.50/M | 16.5 |
| 6 | Kimi K3 (max) | Moonshot AI | 76.2 | — | — | 59.5% |
|
2/4 | $15.50/M | 5.8 |
| 7 | GPT-5.6 Sol (xhigh) | OpenAI | 78.3 | — | — | 57.1% |
|
2/4 | $24.00/M | 3.7 |
| 8 | Muse Spark 1.3 (max) | Meta | 75.8 | — | — | 58.8% |
|
2/4 | $5.50/M | 16.3 |
| 9 | GPT-5.6 Sol (high) | OpenAI | 77.2 | — | — | 57.8% |
|
2/4 | $24.00/M | 3.7 |
| 10 | grok-4-fast-reasoning | SpaceXAI | — | 1,420 | 83.2% | — |
|
2/4 | $0.70/M | 128.1 |
| 11 | GPT-5.6 Sol (max) | OpenAI | 77.4 | — | — | 57.1% |
|
2/4 | $24.00/M | 3.7 |
| 12 | GLM-5.3 (max) | Z.ai | 74.8 | — | — | 59.0% |
|
2/4 | $4.90/M | 18.2 |
| 13 | Claude Opus 5 (Adaptive Reasoning, Max Effort) | Anthropic | 78.0 | — | — | 56.4% |
|
2/4 | $30.00/M | 3.0 |
| 14 | GPT-5.6 Sol (medium) | OpenAI | 76.3 | — | — | 57.4% |
|
2/4 | $24.00/M | 3.7 |
| 15 | Gemini 3.7 Flash (high) | 76.1 | — | — | 57.2% |
|
2/4 | $4.50/M | 19.7 | |
| 16 | grok-4-1-fast-reasoning | SpaceXAI | — | 1,411 | 82.2% | — |
|
2/4 | — | — |
| 17 | Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback) | Anthropic | 77.1 | — | — | 56.4% |
|
2/4 | $60.00/M | 1.5 |
| 18 | GPT-6 Astra (max) | OpenAI | 76.9 | — | — | 56.5% |
|
2/4 | $60.00/M | 1.5 |
| 19 | Grok 4.6 (high) | SpaceXAI | 76.8 | — | — | 56.5% |
|
2/4 | $8.00/M | 11.1 |
| 20 | Grok 4 | SpaceXAI | — | 1,407 | 81.9% | — |
|
2/4 | $18.00/M | 4.9 |
| 21 | Gemini 3.8 Flash (high) | 76.3 | — | — | 56.6% |
|
2/4 | $4.50/M | 19.6 | |
| 22 | Gemini 3.7 Flash (medium) | 71.5 | — | — | 59.8% |
|
2/4 | $4.50/M | 19.5 | |
| 23 | Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) | Anthropic | 77.0 | — | — | 55.7% |
|
2/4 | $30.00/M | 2.9 |
| 24 | GPT-6 Astra (high) | OpenAI | 77.1 | — | — | 55.4% |
|
2/4 | $60.00/M | 1.5 |
| 25 | Claude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback) | Anthropic | 75.2 | — | — | 56.7% |
|
2/4 | $60.00/M | 1.5 |
| 26 | Claude Opus 5 (Adaptive Reasoning, High Effort) | Anthropic | 76.5 | — | — | 55.4% |
|
2/4 | $30.00/M | 2.9 |
| 27 | GPT-6 Astra (xhigh) | OpenAI | 75.9 | — | — | 55.7% |
|
2/4 | $60.00/M | 1.5 |
| 28 | GPT-5.6 Terra (max) | OpenAI | 76.7 | — | — | 55.0% |
|
2/4 | $14.00/M | 6.2 |
| 29 | Muse Spark 1.1 (xhigh) | Meta | 71.3 | — | — | 58.8% |
|
2/4 | $5.50/M | 15.8 |
| 30 | GPT-5.5 (xhigh) | OpenAI | 74.9 | — | — | 55.8% |
|
2/4 | $35.00/M | 2.5 |
| 31 | Grok 4.6 (medium) | SpaceXAI | 74.4 | — | — | 55.9% |
|
2/4 | $8.00/M | 10.8 |
| 32 | GPT-6 Astra (medium) | OpenAI | 76.7 | — | — | 54.2% |
|
2/4 | $60.00/M | 1.4 |
| 33 | Muse Spark 1.2 (xhigh) | Meta | 72.2 | — | — | 57.4% |
|
2/4 | $5.50/M | 15.7 |
| 34 | MiniMax: MiniMax M2 | MiniMax | — | 1,369 | 82.6% | — |
|
2/4 | $1.28/M | 67.7 |
| 35 | GPT-6 Astra (low) | OpenAI | 75.7 | — | — | 54.1% |
|
2/4 | $60.00/M | 1.4 |
| 36 | Gemini 3.8 Flash (medium) | 74.1 | — | — | 55.1% |
|
2/4 | $4.50/M | 19.0 | |
| 37 | Google: Gemini 3.1 Pro Preview | 68.8 | — | — | 58.7% |
|
2/4 | $14.00/M | 6.1 | |
| 38 | Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | Anthropic | 74.3 | — | — | 54.4% |
|
2/4 | $30.00/M | 2.8 |
| 39 | Gemini 3.8 Flash (low) | 73.5 | — | — | 55.0% |
|
2/4 | $4.50/M | 18.9 | |
| 40 | Grok 4.6 (xhigh) | SpaceXAI | 75.9 | — | — | 53.0% |
|
2/4 | $8.00/M | 10.6 |
| 41 | GPT-5.5 (high) | OpenAI | 71.6 | — | — | 56.1% |
|
2/4 | $35.00/M | 2.4 |
| 42 | Grok 4.5 (high) | SpaceXAI | 72.4 | — | — | 55.0% |
|
2/4 | $8.00/M | 10.6 |
| 43 | intellect-3 | Prime Intellect | — | 1,383 | 77.7% | — |
|
2/4 | — | — |
| 44 | Qwen: Qwen3.8 Max (0902) | Alibaba | 76.2 | — | — | 52.1% |
|
2/4 | $8.00/M | 10.5 |
| 45 | Gemini 3.7 Flash (low) | 71.0 | — | — | 55.7% |
|
2/4 | $4.50/M | 18.7 | |
| 46 | GPT-5.6 Sol (low) | OpenAI | 69.7 | — | — | 56.4% |
|
2/4 | $24.00/M | 3.5 |
| 47 | GPT-5.5 (medium) | OpenAI | 71.5 | — | — | 54.5% |
|
2/4 | $35.00/M | 2.4 |
| 48 | Qwen: Qwen3.8 2.4T A95B | Alibaba | 71.9 | — | — | 54.1% |
|
2/4 | $8.00/M | 10.4 |
| 49 | Claude Sonnet 5 (Adaptive Reasoning, Max Effort) | Anthropic | 71.5 | — | — | 54.3% |
|
2/4 | $12.00/M | 6.9 |
| 50 | GPT-5 nano (high) | OpenAI | — | 1,351 | 78.9% | — |
|
2/4 | $0.45/M | 184.8 |
Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) leads on raw performance, but GPT-5 nano (high) delivers 11450% more performance per dollar. That extra 13.7 points costs $4.35/M per point.
Access this data
JSON
GET /api/v1
[
{
"rank": 1,
"model": "Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback)",
"provider": "Anthropic",
"avg_score": 96.9,
"cost": 60.0,
"cost_unit": "million_tokens",
"value": 1.6
},
{
"rank": 2,
"model": "Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback)",
"provider": "Anthropic",
"avg_score": 94.5,
"cost": 60.0,
"cost_unit": "million_tokens",
"value": 1.6
},
{
"rank": 3,
"model": "Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)",
"provider": "Anthropic",
"avg_score": 92.0,
"cost": 60.0,
"cost_unit": "million_tokens",
"value": 1.5
}
]
Curl
$ curl -s https://rightrank.ai/api/v1/rankings/coding.json | jq '.[:3]'
CLI
brew install rightrank
$ rightrank top coding --limit 5 $ rightrank compare claude-opus-4.6 gpt-5.4-pro --category coding $ rightrank value coding # best performance per dollar
Claude Code Skill
Skill
# In Claude Code, use the RightRank skill: /rightrank best model for coding /rightrank compare top 5 by value /rightrank cheapest model scoring above 80 on coding