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Model comparison

GPT-5.1 vs Kimi K3

Data verified

Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
53.65/100
Margin
27.3pts
winning →
Moonshot AI
80.96/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.1 #94 (Estimated); Kimi K3 #4 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.1 and Kimi K3 share 15 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to GPT-5.1; 42 to Kimi K3.

Updated July 23, 2026
Shared results
15
GPT-5.1 only
6
Kimi K3 only
42
Comparable categories
0 / 8

Benchmark data for GPT-5.1 and Kimi K3 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Kimi K3 is priced at $3.00 input / $15.00 output per 1M tokens, versus $1.25 input / $10.00 output per 1M tokens for GPT-5.1. Kimi K3 has the larger context window at 1.05M, compared with 200K for GPT-5.1.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GPT-5.1 and Kimi K3
CategoryGPT-5.1ΔKimi K3
AgenticGPT-5.1Not measuredMarginNo overlapKimi K389.5
KnowledgeGPT-5.1Not measuredMarginNo overlapKimi K361.0
MathGPT-5.126.4MarginNo overlapKimi K3Not measured
MultimodalGPT-5.1Not measuredMarginNo overlapKimi K378.5

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5.1Kimi K3Comparison
Input / output priceUSD per 1M tokensGPT-5.1$1.25 input / $10 outputKimi K3$3 input / $15 outputGPT-5.1 has the lower combined listed price.
Generation speedtokens per secondGPT-5.1111 tok/sKimi K3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.157.47 sKimi K3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.1200KKimi K31.05MKimi K3 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.1Kimi K3Result
AA Agentic IndexSource 21.0%50.1%Kimi K3 leads
τ²-bench resultsSource 81.9%Not comparable
Gert LabsSource 41.24%Not comparable
GDPval-AASource 24.4%59.0%Kimi K3 leads
GDPval-AASource 9871679Kimi K3 leads
Terminal-Bench 2.0Source 88.3%Not comparable
BrowseCompSource 91.2%Not comparable
DeepSearchQASource 95.0%Not comparable
Toolathlon-VerifiedSource 73.2%Not comparable
MCP AtlasSource 84.2%Not comparable
AutomationBenchSource 30.8%Not comparable
JobBenchSource 52.9%Not comparable
APEX-AgentsSource 37.6%Not comparable
SpreadsheetBench 2Source 34.8%Not comparable
DECK-BenchSource 73.5%Not comparable
AA BriefcaseSource 1543Not comparable
AA AutomationBenchSource 52.7%Not comparable
AA EnterpriseOps-GymSource 45.3%Not comparable
AA Harvey LABSource 94.6%Not comparable
AA Tau3 BankingSource 33.4%Not comparable
aaTerminalBench21Source 85%Not comparable
APEX-Agents-AASource 41.3%Not comparable
AA ITBenchSource 47.7%Not comparable
Coding
BenchmarkGPT-5.1Kimi K3Result
Vibe Code BenchSource 24.61%Not comparable
AA Coding IndexSource 49.4%76.2%Kimi K3 leads
AA-SciCodeSource 43.3%58.7%Kimi K3 leads
deepSweSource 67.5%Not comparable
FrontierSWESource 81.2%Not comparable
ProgramBenchSource 77.8%Not comparable
Kimi Code Bench v2Source 72.9%Not comparable
sweMarathonSource 42%Not comparable
PostTrain BenchSource 36.6%Not comparable
MLS-Bench LiteSource 48.3%Not comparable
Reasoning
BenchmarkGPT-5.1Kimi K3Result
AA-LCRSource 75.0%74.7%GPT-5.1 leads
CritPtSource 4.9%23.4%Kimi K3 leads
Knowledge
BenchmarkGPT-5.1Kimi K3Result
Artificial Analysis Intelligence IndexSource 36.9%57.1%Kimi K3 leads
AA-GPQA DiamondSource 87.3%93.5%Kimi K3 leads
AA-HLESource 26.5%44.3%Kimi K3 leads
AA-Omniscience IndexSource 5.6%18.4%Kimi K3 leads
AA-Omniscience AccuracySource 37.6%46.0%Kimi K3 leads
AA-Omniscience Hallucination RateSource 51.3%50.9%Kimi K3 leads
GPQASource 93.5%Not comparable
GPQA-DSource 93.5%Not comparable
HLESource 56%Not comparable
HLE w/o toolsSource 43.5%Not comparable
Math
BenchmarkGPT-5.1Kimi K3Result
FrontierMath v2 (Tiers 1-3)Source 31.034%Not comparable
FrontierMath v2 (Tier 4)Source 12.500%Not comparable
Multimodal
BenchmarkGPT-5.1Kimi K3Result
AA-MMMU-ProSource 75.5%80.5%Kimi K3 leads
Design Arena WebsiteSource 12171386Kimi K3 leads
OfficeQA ProSource 63.3%Not comparable
MMMU-ProSource 81.6%Not comparable
MMMU-Pro w/ PythonSource 83.4%Not comparable
CharXiv w/o toolsSource 84.8%Not comparable
CharXivSource 91.3%Not comparable
MathVisionSource 94.3%Not comparable
MathVision w/ PythonSource 97.8%Not comparable
BabyVision w/ PythonSource 85.7%Not comparable
ZeroBenchSource 23.0%Not comparable
ZeroBench w/ PythonSource 41.0%Not comparable
WorldVQA ForceAnswerSource 51.0%Not comparable
OmniDocBenchSource 91.1%Not comparable
PerceptionBenchSource 58.5%Not comparable
Inst. Following
BenchmarkGPT-5.1Kimi K3Result
AA-IFBenchSource 72.9%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.1 and Kimi K3 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GPT-5.1 and Kimi K3 today?

GPT-5.1: $1.25 input / $10.00 output per 1M tokens Kimi K3: $3.00 input / $15.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 23, 2026

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