Compare · ModelsLive · 2 picked · head to head
GPT-5.4 Pro vs Kimi K2.7 Code
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.4 Pro wins on 3/3 benchmarks
GPT-5.4 Pro wins 3 of 3 shared benchmarks. Leads in knowledge.
Category leads
knowledge·GPT-5.4 Pro
Hype vs Reality
Attention vs performance
GPT-5.4 Pro
#41 by perf·no signal
Kimi K2.7 Code
#42 by perf·no signal
Best value
Kimi K2.7 Code
57.0x better value than GPT-5.4 Pro
GPT-5.4 Pro
0.6 pts/$
$105.00/M
Kimi K2.7 Code
34.3 pts/$
$1.84/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
moonshotai
private · undisclosed
Head to head
3 benchmarks · 2 models
GPT-5.4 ProKimi K2.7 Code
Chess Puzzles
GPT-5.4 Pro leads by +37.6
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
GPT-5.4 Pro
58.6
Kimi K2.7 Code
21.0
GPQA diamond
GPT-5.4 Pro leads by +6.8
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-5.4 Pro
92.8
Kimi K2.7 Code
86.0
SimpleQA Verified
GPT-5.4 Pro leads by +8.6
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
GPT-5.4 Pro
47.8
Kimi K2.7 Code
39.2
Full benchmark table
| Benchmark | GPT-5.4 Pro | Kimi K2.7 Code |
|---|---|---|
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 58.6 | 21.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 92.8 | 86.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 47.8 | 39.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $30.00 | $180.00 | 1.1M tokens (~525 books) | $675.00 | |
| $0.61 | $3.07 | 262K tokens (~131 books) | $12.26 |
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