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Model comparison

Gemini 2.5 Pro vs Kimi K2.5

Data verified

Head-to-head evidence from 23 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.25/100
Margin
2.4pts
winning →
Kimi K2.5
Moonshot AI
59.66/100
1 category wins2 category wins

Public leaderboard positions: Gemini 2.5 Pro #70 (Supported); Kimi K2.5 #54 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 2.5 Pro and Kimi K2.5 share 23 comparable benchmark results. 3 of 8 categories are comparable. 1 result is unique to Gemini 2.5 Pro; 40 to Kimi K2.5.

Updated July 22, 2026
Shared results
23
Gemini 2.5 Pro only
1
Kimi K2.5 only
40
Comparable categories
3 / 8

Pick Kimi K2.5 if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if coding is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 23 shared benchmark results across 7 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Kimi K2.5 has the cleaner BenchAlign overall profile here, landing at 59.66 versus 57.25. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Kimi K2.5's sharpest advantage is in mathematics, where it averages 60.6 against 11.6. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 14.138% to 27.900%. Gemini 2.5 Pro does hit back in coding, so the answer changes if that is the part of the workload you care about most.

Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5. That is roughly 3.3x on output cost alone. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 256K for Kimi K2.5.

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 Gemini 2.5 Pro and Kimi K2.5
CategoryGemini 2.5 ProΔKimi K2.5
MathGemini 2.5 Pro11.6Margin→ 49.0Kimi K2.560.6
KnowledgeGemini 2.5 Pro27.4Margin→ 29.5Kimi K2.556.9
CodingGemini 2.5 Pro63.8Margin← 4.4Kimi K2.559.4
AgenticGemini 2.5 ProNot measuredMarginNo overlapKimi K2.555.0
ReasoningGemini 2.5 ProNot measuredMarginNo overlapKimi K2.561.0
MultilingualGemini 2.5 ProNot measuredMarginNo overlapKimi K2.582.3
MultimodalGemini 2.5 ProNot measuredMarginNo overlapKimi K2.578.5
Inst. FollowingGemini 2.5 ProNot measuredMarginNo overlapKimi K2.593.9

Decisive benchmark drivers

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

More
A · Gemini 2.5 ProB · Kimi K2.5

  1. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 14.138%B 27.900%
    Winner: Kimi K2.5Δ 13.8
    FrontierMath v2 (Tiers 1-3): Gemini 2.5 Pro scored 14.138%; Kimi K2.5 scored 27.900%. Kimi K2.5 wins this benchmark.

  2. SWE-bench Verified

    Coding
    Source ↗
    A 63.8%B 76.8%
    Winner: Kimi K2.5Δ 13
    SWE-bench Verified: Gemini 2.5 Pro scored 63.8%; Kimi K2.5 scored 76.8%. Kimi K2.5 wins this benchmark.

  3. HLE

    Knowledge
    Source ↗
    A 18.8%B 30.1%
    Winner: Kimi K2.5Δ 11.3
    HLE: Gemini 2.5 Pro scored 18.8%; Kimi K2.5 scored 30.1%. Kimi K2.5 wins this benchmark.

  4. GPQA

    Knowledge
    Source ↗
    A 83%B 87.6%
    Winner: Kimi K2.5Δ 4.6
    GPQA: Gemini 2.5 Pro scored 83%; Kimi K2.5 scored 87.6%. Kimi K2.5 wins this benchmark.

  5. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 4.167%B 4.200%
    Winner: Kimi K2.5Δ 0
    FrontierMath v2 (Tier 4): Gemini 2.5 Pro scored 4.167%; Kimi K2.5 scored 4.200%. Kimi K2.5 wins this benchmark.

Operational comparison

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

MetricGemini 2.5 ProKimi K2.5Comparison
Input / output priceUSD per 1M tokensGemini 2.5 Pro$1.25 input / $10 outputKimi K2.5$0.6 input / $3 outputKimi K2.5 has the lower combined listed price.
Generation speedtokens per secondGemini 2.5 Pro117 tok/sKimi K2.545 tok/sGemini 2.5 Pro has the higher measured throughput.
First-answer latencyseconds to first tokenGemini 2.5 Pro21.19 sKimi K2.52.38 sKimi K2.5 reaches the first token sooner.
Context windowmaximum listed tokensGemini 2.5 Pro1MKimi K2.5256KGemini 2.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 2.5 ProKimi K2.5Result
AA Agentic IndexSource 7.1%21.7%Kimi K2.5 leads
τ²-bench resultsSource 54.1%95.9%Kimi K2.5 leads
Gert LabsSource 42.01%45.88%Kimi K2.5 leads
GDPval-AASource 8.3%25.4%Kimi K2.5 leads
GDPval-AASource 6651009Kimi K2.5 leads
Terminal-Bench 2.0Source —50.8%Not comparable
BrowseCompSource —60.6%Not comparable
Claw-EvalSource —52.3%Not comparable
QwenClawBenchSource —54.3%Not comparable
τ³-bench resultsSource —65.7%Not comparable
DeepSearchQASource —77.1%Not comparable
DeepPlanningSource —14.4%Not comparable
ToolathlonSource —27.8%Not comparable
MCP AtlasSource —29.5%Not comparable
MCP-TasksSource —59.1%Not comparable
WideResearchSource —72.7%Not comparable
APEX-Agents-AASource —11.5%Not comparable
ResearchClawBenchSource —14.0%Not comparable
JobBenchSource —8.7%Not comparable
CodingGemini 2.5 Pro wins
BenchmarkGemini 2.5 ProKimi K2.5Result
SWE-bench VerifiedSource 63.8%76.8%Kimi K2.5 leads
Vibe Code BenchSource 0.40%—Not comparable
AA Coding IndexSource 33.3%46.8%Kimi K2.5 leads
AA-SciCodeSource 42.8%49.0%Kimi K2.5 leads
SWE-bench Verified*Source —70.8%Not comparable
LiveCodeBench v6Source —85.0%Not comparable
SWE-bench ProSource —50.7%Not comparable
SWE MultilingualSource —73%Not comparable
SWE-RebenchSource —58.5%Not comparable
React Native EvalsSource —77.2%Not comparable
SciCodeSource —48.7%Not comparable
Reasoning
BenchmarkGemini 2.5 ProKimi K2.5Result
AA-LCRSource 66.0%65.3%Gemini 2.5 Pro leads
CritPtSource 2.6%3.1%Kimi K2.5 leads
LongBench v2Source —61%Not comparable
KnowledgeKimi K2.5 wins
BenchmarkGemini 2.5 ProKimi K2.5Result
GPQASource 83%87.6%Kimi K2.5 leads
HLESource 18.8%30.1%Kimi K2.5 leads
Artificial Analysis Intelligence IndexSource 25.8%35.4%Kimi K2.5 leads
AA-GPQA DiamondSource 84.4%87.9%Kimi K2.5 leads
AA-HLESource 21.1%29.4%Kimi K2.5 leads
AA-Omniscience IndexSource -14.3%-8.1%Kimi K2.5 leads
AA-Omniscience AccuracySource 39.0%34.3%Gemini 2.5 Pro leads
AA-Omniscience Hallucination RateSource 87.4%64.6%Kimi K2.5 leads
GPQA-DSource —87.6%Not comparable
SuperGPQASource —69.2%Not comparable
MMLU-ProSource —87.1%Not comparable
MMLU-Pro (Arcee)Source —87.1%Not comparable
MathKimi K2.5 wins
BenchmarkGemini 2.5 ProKimi K2.5Result
FrontierMath v2 (Tiers 1-3)Source 14.138%27.900%Kimi K2.5 leads
FrontierMath v2 (Tier 4)Source 4.167%4.200%Kimi K2.5 leads
AIME 2025Source —96.1%Not comparable
AIME26Source —95.8%Not comparable
AIME25 (Arcee)Source —96.3%Not comparable
HMMT Feb 2025Source —95.4%Not comparable
HMMT Nov 2025Source —91.1%Not comparable
HMMT Feb 2026Source —87.1%Not comparable
MMAnswerBenchSource —81.8%Not comparable
Multilingual
BenchmarkGemini 2.5 ProKimi K2.5Result
MMLU-ProXSource —82.3%Not comparable
NOVA-63Source —56.0%Not comparable
Multimodal
BenchmarkGemini 2.5 ProKimi K2.5Result
AA-MMMU-ProSource 74.9%75.4%Kimi K2.5 leads
Design Arena WebsiteSource 11971279Kimi K2.5 leads
MMMU-ProSource —78.5%Not comparable
Video-MMESource —87.4%Not comparable
MMVUSource —80.4%Not comparable
VideoMMMUSource —86.6%Not comparable
Inst. Following
BenchmarkGemini 2.5 ProKimi K2.5Result
AA-IFBenchSource 48.7%70.2%Kimi K2.5 leads
IFEvalSource —93.9%Not comparable
Frequently Asked Questions (4)

Which is better, Gemini 2.5 Pro or Kimi K2.5?

Kimi K2.5 is ahead on BenchLM's BenchAlign leaderboard, 59.66 to 57.25. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 14.138% and 27.900%.

Which is better for knowledge tasks, Gemini 2.5 Pro or Kimi K2.5?

Kimi K2.5 has the edge for knowledge tasks in this comparison, averaging 56.9 versus 27.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, Gemini 2.5 Pro or Kimi K2.5?

Gemini 2.5 Pro has the edge for coding in this comparison, averaging 63.8 versus 59.4. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for math, Gemini 2.5 Pro or Kimi K2.5?

Kimi K2.5 has the edge for math in this comparison, averaging 60.6 versus 11.6. Inside this category, FrontierMath v2 (Tiers 1-3) 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.

Gemini 2.5 Pro
API / mo$8,438
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Kimi K2.5
API / mo$2,700
Self-host / mo$5,221
Break-even132M/day
Model the full break-even

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