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Model comparison

GPT-5 (medium) vs Kimi K2.7 Code

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.15/100
Margin
0.1pts
← winning
Moonshot AI
55/100
0 category wins0 category wins

Public leaderboard positions: GPT-5 (medium) #84 (Supported); Kimi K2.7 Code #87 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5 (medium) and Kimi K2.7 Code share 12 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to GPT-5 (medium); 11 to Kimi K2.7 Code.

Updated July 23, 2026
Shared results
12
GPT-5 (medium) only
2
Kimi K2.7 Code only
11
Comparable categories
0 / 8

Benchmark data for GPT-5 (medium) and Kimi K2.7 Code is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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 K2.7 Code has the larger context window at 256K, compared with 128K for GPT-5 (medium).

Category breakdown

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

Operational comparison

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

MetricGPT-5 (medium)Kimi K2.7 CodeComparison
Input / output priceUSD per 1M tokensGPT-5 (medium)Not availableKimi K2.7 Code$0.95 input / $4 outputA complete price comparison is not available.
Generation speedtokens per secondGPT-5 (medium)83 tok/sKimi K2.7 CodeNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5 (medium)36.28 sKimi K2.7 CodeNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5 (medium)128KKimi K2.7 Code256KKimi K2.7 Code lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5 (medium)Kimi K2.7 CodeResult
τ²-bench resultsSource 86.5%90.1%Kimi K2.7 Code leads
Kimi Claw 24/7Source 46.9%Not comparable
MCP AtlasSource 76%Not comparable
MCP Mark VerifiedSource 81.1%Not comparable
AA Agentic IndexSource 29.6%Not comparable
GDPval-AASource 34.3%Not comparable
GDPval-AASource 1187Not comparable
Coding
BenchmarkGPT-5 (medium)Kimi K2.7 CodeResult
AA-SciCodeSource 41.1%47.5%Kimi K2.7 Code leads
Kimi Code Bench v2Source 62.0%Not comparable
ProgramBenchSource 53.6%Not comparable
MLS-Bench LiteSource 35.1%Not comparable
cursorBench32Source 49.7%Not comparable
AA Coding IndexSource 60.8%Not comparable
Reasoning
BenchmarkGPT-5 (medium)Kimi K2.7 CodeResult
AA-LCRSource 72.8%66.3%GPT-5 (medium) leads
CritPtSource 0.0%10.0%Kimi K2.7 Code leads
Knowledge
BenchmarkGPT-5 (medium)Kimi K2.7 CodeResult
Artificial Analysis Intelligence IndexSource 33.7%42.0%Kimi K2.7 Code leads
AA-GPQA DiamondSource 84.2%89.6%Kimi K2.7 Code leads
AA-HLESource 23.5%32.8%Kimi K2.7 Code leads
AA-Omniscience IndexSource -10.1%-10.7%GPT-5 (medium) leads
AA-Omniscience AccuracySource 38.9%38.6%GPT-5 (medium) leads
AA-Omniscience Hallucination RateSource 80.1%80.3%GPT-5 (medium) leads
Math
BenchmarkGPT-5 (medium)Kimi K2.7 CodeResult
AA MATH-500Source 99.1%Not comparable
Multimodal
BenchmarkGPT-5 (medium)Kimi K2.7 CodeResult
AA-MMMU-ProSource 74.3%Not comparable
Design Arena WebsiteSource 12141302Kimi K2.7 Code leads
Inst. Following
BenchmarkGPT-5 (medium)Kimi K2.7 CodeResult
AA-IFBenchSource 70.6%63.1%GPT-5 (medium) leads
Frequently Asked Questions (3)

Can I compare GPT-5 (medium) and Kimi K2.7 Code 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 (medium) and Kimi K2.7 Code today?

GPT-5 (medium): Pricing unavailable Kimi K2.7 Code: $0.95 input / $4.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

GPT-5 (medium)
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Kimi K2.7 Code
API / mo$3,713
Self-host / mo$18,221
Break-even326M/day
Model the full break-even

Related Comparisons

Last updated: July 23, 2026

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