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Model comparison

Kimi K2 vs Qwen3.5 397B (Reasoning)

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Moonshot AI
27.19/100
Margin
32.3pts
winning →
59.5/100
0 category wins0 category wins

Public leaderboard positions: Kimi K2 #189 (Supported); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2 and Qwen3.5 397B (Reasoning) share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Kimi K2; 6 to Qwen3.5 397B (Reasoning).

Updated July 20, 2026
Shared results
11
Kimi K2 only
3
Qwen3.5 397B (Reasoning) only
6
Comparable categories
0 / 8

Benchmark data for Kimi K2 and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 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.

Qwen3.5 397B (Reasoning) is priced at $0.60 input / $3.60 output per 1M tokens, versus $0.60 input / $2.50 output per 1M tokens for Kimi K2.

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 Qwen3.5 397B (Reasoning)
CategoryKimi K2ΔQwen3.5 397B (Reasoning)
MathKimi K216.1MarginNo overlapQwen3.5 397B (Reasoning)Not measured

Operational comparison

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

MetricKimi K2Qwen3.5 397B (Reasoning)Comparison
Input / output priceUSD per 1M tokensKimi K2$0.6 input / $2.5 outputQwen3.5 397B (Reasoning)$0.6 input / $3.6 outputKimi K2 has the lower combined listed price.
Generation speedtokens per secondKimi K243 tok/sQwen3.5 397B (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K21.51 sQwen3.5 397B (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2128KQwen3.5 397B (Reasoning)128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2Qwen3.5 397B (Reasoning)Result
τ²-bench resultsSource 61.1%95.6%Qwen3.5 397B (Reasoning) leads
AA Agentic IndexSource 19.9%Not comparable
APEX-Agents-AASource 15.3%Not comparable
GDPval-AASource 23.1%Not comparable
GDPval-AASource 962Not comparable
Coding
BenchmarkKimi K2Qwen3.5 397B (Reasoning)Result
AA-SciCodeSource 34.5%42.0%Qwen3.5 397B (Reasoning) leads
AA Coding IndexSource 48.2%Not comparable
Reasoning
BenchmarkKimi K2Qwen3.5 397B (Reasoning)Result
AA-LCRSource 51.0%65.7%Qwen3.5 397B (Reasoning) leads
CritPtSource 0.0%1.7%Qwen3.5 397B (Reasoning) leads
Knowledge
BenchmarkKimi K2Qwen3.5 397B (Reasoning)Result
Artificial Analysis Intelligence IndexSource 19.4%33.7%Qwen3.5 397B (Reasoning) leads
AA-GPQA DiamondSource 76.6%89.3%Qwen3.5 397B (Reasoning) leads
AA-HLESource 7.0%27.3%Qwen3.5 397B (Reasoning) leads
AA-Omniscience IndexSource -27.5%-29.8%Kimi K2 leads
AA-Omniscience AccuracySource 26.8%31.4%Qwen3.5 397B (Reasoning) leads
AA-Omniscience Hallucination RateSource 74.2%89.1%Kimi K2 leads
Math
BenchmarkKimi K2Qwen3.5 397B (Reasoning)Result
FrontierMath v2 (Tiers 1-3)Source 21.404%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkKimi K2Qwen3.5 397B (Reasoning)Result
Design Arena WebsiteSource 1083Not comparable
AA-MMMU-ProSource 77.3%Not comparable
Inst. Following
BenchmarkKimi K2Qwen3.5 397B (Reasoning)Result
AA-IFBenchSource 41.5%78.8%Qwen3.5 397B (Reasoning) leads
Frequently Asked Questions (3)

Can I compare Kimi K2 and Qwen3.5 397B (Reasoning) 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 Qwen3.5 397B (Reasoning) today?

Kimi K2: $0.60 input / $2.50 output per 1M tokens Qwen3.5 397B (Reasoning): $0.60 input / $3.60 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 20, 2026

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