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Model comparison

GPT-5.4 mini vs Kimi K2.6

Data verified

Head-to-head evidence from 28 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

56.77/100
Margin
0.0pts
winning →
Kimi K2.6
Moonshot AI
56.79/100
1 category wins3 category wins

Public leaderboard positions: GPT-5.4 mini #75 (Estimated); Kimi K2.6 #74 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.4 mini and Kimi K2.6 share 28 comparable benchmark results. 4 of 8 categories are comparable. 2 results are unique to GPT-5.4 mini; 23 to Kimi K2.6.

Updated July 23, 2026
Shared results
28
GPT-5.4 mini only
2
Kimi K2.6 only
23
Comparable categories
4 / 8

Pick Kimi K2.6 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if knowledge is the priority or you need the larger 400K context window.

Confidence note. This is a partial-evidence comparison with 28 shared benchmark results across 7 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Kimi K2.6 has the cleaner BenchAlign overall profile here, landing at 56.79 versus 56.77. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Kimi K2.6's sharpest advantage is in mathematics, where it averages 67.1 against 21.7. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 2.080% to 14.580%. GPT-5.4 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. GPT-5.4 mini gives you the larger context window at 400K, compared with 256K for Kimi K2.6.

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-5.4 mini and Kimi K2.6
CategoryGPT-5.4 miniΔKimi K2.6
MathGPT-5.4 mini21.7Margin→ 45.4Kimi K2.667.1
AgenticGPT-5.4 mini65.7Margin→ 7.8Kimi K2.673.5
KnowledgeGPT-5.4 mini47.8Margin← 5.6Kimi K2.642.2
MultimodalGPT-5.4 mini76.6Margin→ 3.2Kimi K2.679.8
CodingGPT-5.4 miniNot measuredMarginNo overlapKimi K2.664.4

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · GPT-5.4 miniB · Kimi K2.6

  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 2.080%B 14.580%
    Winner: Kimi K2.6Δ 12.5
    FrontierMath v2 (Tier 4): GPT-5.4 mini scored 2.080%; Kimi K2.6 scored 14.580%. Kimi K2.6 wins this benchmark.

  2. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 28.280%B 38.966%
    Winner: Kimi K2.6Δ 10.7
    FrontierMath v2 (Tiers 1-3): GPT-5.4 mini scored 28.280%; Kimi K2.6 scored 38.966%. Kimi K2.6 wins this benchmark.

  3. HLE

    Knowledge
    Source ↗
    A 41.5%B 34.7%
    Winner: GPT-5.4 miniΔ 6.8
    HLE: GPT-5.4 mini scored 41.5%; Kimi K2.6 scored 34.7%. GPT-5.4 mini wins this benchmark.

  4. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 60%B 66.7%
    Winner: Kimi K2.6Δ 6.7
    Terminal-Bench 2.0: GPT-5.4 mini scored 60%; Kimi K2.6 scored 66.7%. Kimi K2.6 wins this benchmark.

  5. MMMU-Pro

    Multimodal
    Source ↗
    A 76.6%B 79.4%
    Winner: Kimi K2.6Δ 2.8
    MMMU-Pro: GPT-5.4 mini scored 76.6%; Kimi K2.6 scored 79.4%. Kimi K2.6 wins this benchmark.

Operational comparison

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

MetricGPT-5.4 miniKimi K2.6Comparison
Input / output priceUSD per 1M tokensGPT-5.4 mini$0.75 input / $4.5 outputKimi K2.6$0.95 input / $4 outputKimi K2.6 has the lower combined listed price.
Generation speedtokens per secondGPT-5.4 mini201 tok/sKimi K2.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.4 mini3.85 sKimi K2.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.4 mini400KKimi K2.6256KGPT-5.4 mini lists the larger context window.

Benchmark Deep Dive

AgenticKimi K2.6 wins
BenchmarkGPT-5.4 miniKimi K2.6Result
Terminal-Bench 2.0Source 60%66.7%Kimi K2.6 leads
OSWorld-VerifiedSource 72.1%73.1%Kimi K2.6 leads
MCP AtlasSource 57.7%55.9%GPT-5.4 mini leads
ToolathlonSource 42.9%50%Kimi K2.6 leads
τ²-bench resultsSource 83.3%95.9%Kimi K2.6 leads
AA Agentic IndexSource 30.2%30.3%Kimi K2.6 leads
APEX-Agents-AASource 28.2%28.5%Kimi K2.6 leads
GDPval-AASource 33.6%34.5%Kimi K2.6 leads
GDPval-AASource 11711189Kimi K2.6 leads
BrowseCompSource —83.2%Not comparable
Claw-EvalSource —62.3%Not comparable
DeepSearchQASource —92.5%Not comparable
WideResearchSource —80.8%Not comparable
Gert LabsSource —56.82%Not comparable
ResearchClawBenchSource —18.0%Not comparable
OSWorld 2.0Source —4.6%Not comparable
terminalBenchHardSource —43.9%Not comparable
Coding
BenchmarkGPT-5.4 miniKimi K2.6Result
Vibe Code BenchSource 47.97%37.89%GPT-5.4 mini leads
AA Coding IndexSource 56.1%61.8%Kimi K2.6 leads
AA-SciCodeSource 49.9%53.5%Kimi K2.6 leads
FrontierCode 1.1 MainSource 27.0%—Not comparable
SWE-bench VerifiedSource —80.2%Not comparable
LiveCodeBench v6Source —89.6%Not comparable
SWE-bench ProSource —58.6%Not comparable
SWE MultilingualSource —76.7%Not comparable
SciCodeSource —52.2%Not comparable
Terminal-Bench 2.0Source —66.7%Not comparable
cursorBench31Source —47.6%Not comparable
Reasoning
BenchmarkGPT-5.4 miniKimi K2.6Result
AA-LCRSource 69.3%69.7%Kimi K2.6 leads
CritPtSource 10.0%8.0%GPT-5.4 mini leads
KnowledgeGPT-5.4 mini wins
BenchmarkGPT-5.4 miniKimi K2.6Result
GPQASource 88%90.5%Kimi K2.6 leads
HLESource 41.5%34.7%GPT-5.4 mini leads
HLE w/o toolsSource 28.2%—Not comparable
Artificial Analysis Intelligence IndexSource 40.0%44.2%Kimi K2.6 leads
AA-GPQA DiamondSource 87.5%91.1%Kimi K2.6 leads
AA-HLESource 26.6%35.9%Kimi K2.6 leads
AA-Omniscience IndexSource -18.7%6.4%Kimi K2.6 leads
AA-Omniscience AccuracySource 37.5%32.8%GPT-5.4 mini leads
AA-Omniscience Hallucination RateSource 89.8%39.3%Kimi K2.6 leads
GPQA-DSource —90.5%Not comparable
MathKimi K2.6 wins
BenchmarkGPT-5.4 miniKimi K2.6Result
FrontierMath v2 (Tiers 1-3)Source 28.280%38.966%Kimi K2.6 leads
FrontierMath v2 (Tier 4)Source 2.080%14.580%Kimi K2.6 leads
AIME26Source —96.4%Not comparable
HMMT Feb 2026Source —92.7%Not comparable
MMAnswerBenchSource —86.0%Not comparable
MultimodalKimi K2.6 wins
BenchmarkGPT-5.4 miniKimi K2.6Result
MMMU-ProSource 76.6%79.4%Kimi K2.6 leads
MMMU-Pro w/ PythonSource 78%80.1%Kimi K2.6 leads
AA-MMMU-ProSource 73.3%79.4%Kimi K2.6 leads
CharXivSource —80.4%Not comparable
MathVisionSource —87.4%Not comparable
V*Source —96.9%Not comparable
Design Arena WebsiteSource —1306Not comparable
Inst. Following
BenchmarkGPT-5.4 miniKimi K2.6Result
AA-IFBenchSource 73.3%76.0%Kimi K2.6 leads
Frequently Asked Questions (5)

Which is better, GPT-5.4 mini or Kimi K2.6?

Kimi K2.6 is ahead on BenchLM's BenchAlign leaderboard, 56.79 to 56.77. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 2.080% and 14.580%.

Which is better for knowledge tasks, GPT-5.4 mini or Kimi K2.6?

GPT-5.4 mini has the edge for knowledge tasks in this comparison, averaging 47.8 versus 42.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for math, GPT-5.4 mini or Kimi K2.6?

Kimi K2.6 has the edge for math in this comparison, averaging 67.1 versus 21.7. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.4 mini or Kimi K2.6?

Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 65.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.4 mini or Kimi K2.6?

Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 76.6. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.

Self-host vs API cost

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

GPT-5.4 mini
API / mo$3,938
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Kimi K2.6
API / mo$3,713
Self-host / mo$18,221
Break-even326M/day
Model the full break-even

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