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GPT-5.5

OpenAI Proprietary
82.9
Vibe Coding Index · #5 of 21
✓ Verified data — every figure is cited. See sources.
Quality #5/21
82.9
VCI
Price
—
$/M blended
Speed
—
tok/s
Latency
—
to first token

Suite radar

SWE-bench Terminal-Bench LiveCodeBench

Suite scores

SWE-bench Verified
Real GitHub issues fixed end-to-end
81
↗
Terminal-Bench
Agentic tasks in a real shell
83
↗
LiveCodeBench
Fresh competitive-programming problems
85
↗

Where GPT-5.5 sits

Its dot is ringed on the cost×quality and speed×quality frontiers.

↖ Best value Premium ↗ ↙ Budget Poor value ↘ 45 50 55 60 65 70 75 80 85 90 95 $0.32 $1 $3.16 $10 $31.62 BLENDED COST — $ / 1M TOKENS (LOG) VIBE CODING INDEX Claude Fable 5 Grok 4.5 MiniMax M3
Efficient frontier Alibaba Anthropic DeepSeek Google MiniMax Moonshot AI OpenAI xAI Hover, tap or focus a point · dashed lines = medians 10 model(s) hidden — data not yet verified
↖ Smart but slow Fast & smart ↗ ↙ Laggards Fast but shallow ↘ 45 50 55 60 65 70 75 80 85 90 95 0 48 96 144 192 240 OUTPUT SPEED — TOKENS / SECOND VIBE CODING INDEX Claude Fable 5 Grok 4.5 MiniMax M3 Qwen3.7 Max
Efficient frontier Alibaba Anthropic DeepSeek Google MiniMax Moonshot AI OpenAI xAI Hover, tap or focus a point · dashed lines = medians 10 model(s) hidden — data not yet verified
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