Compare · ModelsLive · 2 picked · head to head
GPT-5.1 vs Kimi K2 0711
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.1 wins on 6/9 benchmarks
GPT-5.1 wins 6 of 9 shared benchmarks. Leads in coding · language · reasoning.
Category leads
coding·GPT-5.1knowledge·Kimi K2 0711language·GPT-5.1math·Kimi K2 0711reasoning·GPT-5.1
Hype vs Reality
Attention vs performance
GPT-5.1
#95 by perf·no signal
Kimi K2 0711
#61 by perf·no signal
Best value
Kimi K2 0711
4.4x better value than GPT-5.1
GPT-5.1
8.8 pts/$
$5.63/M
Kimi K2 0711
39.2 pts/$
$1.43/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
moonshotai
private · undisclosed
Head to head
9 benchmarks · 2 models
GPT-5.1Kimi K2 0711
GSO-Bench
GPT-5.1 leads by +8.8
GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues.
GPT-5.1
13.7
Kimi K2 0711
4.9
HELM · GPQA
Kimi K2 0711 leads by +21.0
GPT-5.1
44.2
Kimi K2 0711
65.2
HELM · IFEval
GPT-5.1 leads by +8.5
GPT-5.1
93.5
Kimi K2 0711
85.0
HELM · MMLU-Pro
Kimi K2 0711 leads by +24.0
GPT-5.1
57.9
Kimi K2 0711
81.9
HELM · Omni-MATH
Kimi K2 0711 leads by +19.0
GPT-5.1
46.4
Kimi K2 0711
65.4
HELM · WildBench
GPT-5.1 leads by +0.1
GPT-5.1
86.3
Kimi K2 0711
86.2
SimpleBench
GPT-5.1 leads by +32.3
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
GPT-5.1
43.8
Kimi K2 0711
11.6
Terminal Bench
GPT-5.1 leads by +19.8
Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency.
GPT-5.1
47.6
Kimi K2 0711
27.8
WeirdML
GPT-5.1 leads by +21.4
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
GPT-5.1
60.8
Kimi K2 0711
39.4
Full benchmark table
| Benchmark | GPT-5.1 | Kimi K2 0711 |
|---|---|---|
GSO-Bench GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues. | 13.7 | 4.9 |
HELM · GPQA | 44.2 | 65.2 |
HELM · IFEval | 93.5 | 85.0 |
HELM · MMLU-Pro | 57.9 | 81.9 |
HELM · Omni-MATH | 46.4 | 65.4 |
HELM · WildBench | 86.3 | 86.2 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 43.8 | 11.6 |
Terminal Bench Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency. | 47.6 | 27.8 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 60.8 | 39.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.25 | $10.00 | 400K tokens (~200 books) | $34.38 | |
| $0.57 | $2.30 | 131K tokens (~66 books) | $10.03 |