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Model comparison

Kimi K2 vs Qwen2.5 Coder 32B Instruct

Data verified

Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Moonshot AI
27.19/100
Margin
7.5pts
winning →
0 category wins0 category wins

Public leaderboard positions: Kimi K2 #189 (Supported); Qwen2.5 Coder 32B Instruct #186 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2 and Qwen2.5 Coder 32B Instruct share 4 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to Kimi K2; 0 to Qwen2.5 Coder 32B Instruct.

Updated July 23, 2026
Shared results
4
Kimi K2 only
10
Qwen2.5 Coder 32B Instruct only
0
Comparable categories
0 / 8

Benchmark data for Kimi K2 and Qwen2.5 Coder 32B Instruct is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 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 is priced at $0.60 input / $2.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5 Coder 32B Instruct.

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 Kimi K2 and Qwen2.5 Coder 32B Instruct
CategoryKimi K2ΔQwen2.5 Coder 32B Instruct
MathKimi K216.1MarginNo overlapQwen2.5 Coder 32B InstructNot measured

Operational comparison

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

MetricKimi K2Qwen2.5 Coder 32B InstructComparison
Input / output priceUSD per 1M tokensKimi K2$0.6 input / $2.5 outputQwen2.5 Coder 32B Instruct$0 input / $0 outputQwen2.5 Coder 32B Instruct has the lower combined listed price.
Generation speedtokens per secondKimi K243 tok/sQwen2.5 Coder 32B InstructNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K21.51 sQwen2.5 Coder 32B InstructNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2128KQwen2.5 Coder 32B Instruct128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2Qwen2.5 Coder 32B InstructResult
τ²-bench resultsSource 61.1%Not comparable
Coding
BenchmarkKimi K2Qwen2.5 Coder 32B InstructResult
AA-SciCodeSource 34.5%27.1%Kimi K2 leads
Reasoning
BenchmarkKimi K2Qwen2.5 Coder 32B InstructResult
AA-LCRSource 51.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkKimi K2Qwen2.5 Coder 32B InstructResult
Artificial Analysis Intelligence IndexSource 19.4%7.1%Kimi K2 leads
AA-GPQA DiamondSource 76.6%41.7%Kimi K2 leads
AA-HLESource 7.0%3.8%Kimi K2 leads
AA-Omniscience IndexSource -27.5%Not comparable
AA-Omniscience AccuracySource 26.8%Not comparable
AA-Omniscience Hallucination RateSource 74.2%Not comparable
Math
BenchmarkKimi K2Qwen2.5 Coder 32B InstructResult
FrontierMath v2 (Tiers 1-3)Source 21.404%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkKimi K2Qwen2.5 Coder 32B InstructResult
Design Arena WebsiteSource 1080Not comparable
Inst. Following
BenchmarkKimi K2Qwen2.5 Coder 32B InstructResult
AA-IFBenchSource 41.5%Not comparable
Frequently Asked Questions (3)

Can I compare Kimi K2 and Qwen2.5 Coder 32B Instruct 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 Kimi K2 and Qwen2.5 Coder 32B Instruct today?

Kimi K2: $0.60 input / $2.50 output per 1M tokens Qwen2.5 Coder 32B Instruct: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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