Skip to main content

Model comparison

Claude Haiku 4.5 Thinking vs DeepSeek V3.2

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

No comparison
55.4/100
0 category wins0 category wins

Public leaderboard positions: Claude Haiku 4.5 Thinking unranked (Not scored); DeepSeek V3.2 #82 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Haiku 4.5 Thinking and DeepSeek V3.2 share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to Claude Haiku 4.5 Thinking; 18 to DeepSeek V3.2.

Updated July 23, 2026
Shared results
1
Claude Haiku 4.5 Thinking only
1
DeepSeek V3.2 only
18
Comparable categories
0 / 8

Benchmark data for Claude Haiku 4.5 Thinking and DeepSeek V3.2 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.

Claude Haiku 4.5 Thinking has the larger context window at 200K, compared with 128K for DeepSeek V3.2.

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 Claude Haiku 4.5 Thinking and DeepSeek V3.2
CategoryClaude Haiku 4.5 ThinkingΔDeepSeek V3.2
CodingClaude Haiku 4.5 ThinkingNot measuredMarginNo overlapDeepSeek V3.260.9
MathClaude Haiku 4.5 ThinkingNot measuredMarginNo overlapDeepSeek V3.217.1

Operational comparison

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

MetricClaude Haiku 4.5 ThinkingDeepSeek V3.2Comparison
Input / output priceUSD per 1M tokensClaude Haiku 4.5 ThinkingNot availableDeepSeek V3.2$0.28 input / $0.42 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Haiku 4.5 ThinkingNot availableDeepSeek V3.235 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Haiku 4.5 ThinkingNot availableDeepSeek V3.23.75 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Haiku 4.5 Thinking200KDeepSeek V3.2128KClaude Haiku 4.5 Thinking lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Haiku 4.5 ThinkingDeepSeek V3.2Result
Claw-EvalSource 40.2%Not comparable
VITA-BenchSource 18.5%Not comparable
τ²-bench resultsSource 78.9%Not comparable
Gert LabsSource 29.57%Not comparable
Coding
BenchmarkClaude Haiku 4.5 ThinkingDeepSeek V3.2Result
Vibe Code BenchSource 11.39%Not comparable
SWE-RebenchSource 60.9%Not comparable
React Native EvalsSource 71.5%Not comparable
AA-SciCodeSource 38.7%Not comparable
Reasoning
BenchmarkClaude Haiku 4.5 ThinkingDeepSeek V3.2Result
AA-LCRSource 39.0%Not comparable
CritPtSource 0.9%Not comparable
Knowledge
BenchmarkClaude Haiku 4.5 ThinkingDeepSeek V3.2Result
Artificial Analysis Intelligence IndexSource 24.7%Not comparable
AA-GPQA DiamondSource 75.1%Not comparable
AA-HLESource 10.5%Not comparable
AA-Omniscience IndexSource -46.7%Not comparable
AA-Omniscience AccuracySource 24.2%Not comparable
AA-Omniscience Hallucination RateSource 93.5%Not comparable
Math
BenchmarkClaude Haiku 4.5 ThinkingDeepSeek V3.2Result
FrontierMath v2 (Tiers 1-3)Source 22.100%Not comparable
FrontierMath v2 (Tier 4)Source 2.100%Not comparable
Multimodal
BenchmarkClaude Haiku 4.5 ThinkingDeepSeek V3.2Result
Design Arena WebsiteSource 11521204DeepSeek V3.2 leads
Inst. Following
BenchmarkClaude Haiku 4.5 ThinkingDeepSeek V3.2Result
AA-IFBenchSource 49.0%Not comparable
Frequently Asked Questions (3)

Can I compare Claude Haiku 4.5 Thinking and DeepSeek V3.2 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 Claude Haiku 4.5 Thinking and DeepSeek V3.2 today?

DeepSeek V3.2: $0.28 input / $0.42 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

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.