GPT-5.5 vs Kimi K2 Thinking

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

GPT-5.5

OpenAI · Apr 2026

77.2

OpenAI's flagship reasoning model with a 1M-token context window, built for hard coding, science and long-horizon agentic work.

Kimi K2 Thinking

Moonshot AI · Nov 2025

67.6

A trillion-parameter open reasoning agent that can chain 200–300 tool calls — the open-weights agentic standout of late 2025.

The verdict

GPT-5.5 wins 4 of the 4 benchmarks these models share, against 0 for Kimi K2 Thinking. On price the gap is dramatic: Kimi K2 Thinking works out roughly 10x cheaper per blended million tokens. GPT-5.5 also takes 1M of context versus 262K for Kimi K2 Thinking. And Kimi K2 Thinking is open-weights (Modified MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.

Benchmark head-to-head 40

SWE-bench Verified
82.6%71.3%
GPT-5.5Kimi K2 Thinking
GPQA Diamond
~92%84.5%
GPT-5.5Kimi K2 Thinking
AIME 2025
~99%~94.5%
GPT-5.5Kimi K2 Thinking
HLE
~35%23.9%
GPT-5.5Kimi K2 Thinking

Specs & pricing

GPT-5.5Kimi K2 Thinking
modhub Index77.267.6
Input price / 1M$5$0.6
Output price / 1M$30$2.5
Context window1M262K
Max output128K
Open weightsnoyes (Modified MIT)
Reasoning modelyesyes
Multimodal inputtext, imagetext
Knowledge cutoffJan 2026Apr 2025
ReleasedApr 2026Nov 2025
Example monthly cost*$95.00$9.75

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, GPT-5.5 or Kimi K2 Thinking?
GPT-5.5 wins 4 of the 4 benchmarks these models share, against 0 for Kimi K2 Thinking. On price the gap is dramatic: Kimi K2 Thinking works out roughly 10x cheaper per blended million tokens. GPT-5.5 also takes 1M of context versus 262K for Kimi K2 Thinking. And Kimi K2 Thinking is open-weights (Modified MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Which is cheaper, GPT-5.5 or Kimi K2 Thinking?
GPT-5.5 costs $5/$30 per million input/output tokens, while Kimi K2 Thinking costs $0.6/$2.5. For a typical workload of 10M input and 1.5M output tokens per month, that's $95.00 versus $9.75.
Which model is better for coding, GPT-5.5 or Kimi K2 Thinking?
On SWE-bench Verified — the standard agentic-coding benchmark — GPT-5.5 scores 82.6% versus 71.3% for Kimi K2 Thinking, making GPT-5.5 the stronger pick for coding agents.

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