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Model comparison

Claude Haiku 4.5 vs Qwen3 235B 2507 (Reasoning)

Data verified

Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

56.58/100
Margin
1.4pts
winning →
0 category wins1 category wins

Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); Qwen3 235B 2507 (Reasoning) #66 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Haiku 4.5 and Qwen3 235B 2507 (Reasoning) share 2 comparable benchmark results. 1 of 8 categories are comparable. 3 results are unique to Claude Haiku 4.5; 0 to Qwen3 235B 2507 (Reasoning).

Updated July 20, 2026
Shared results
2
Claude Haiku 4.5 only
3
Qwen3 235B 2507 (Reasoning) only
0
Comparable categories
1 / 8

Pick Qwen3 235B 2507 (Reasoning) if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if you need the larger 200K context window or you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3 235B 2507 (Reasoning) has the cleaner BenchAlign overall profile here, landing at 58.01 versus 56.58. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Qwen3 235B 2507 (Reasoning)'s sharpest advantage is in mathematics, where it averages 6.4 against 4.9. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 5.903% to 8.481%.

Claude Haiku 4.5 is also the more expensive model on tokens at $1.00 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3 235B 2507 (Reasoning). That is roughly Infinityx on output cost alone. Qwen3 235B 2507 (Reasoning) is the reasoning model in the pair, while Claude Haiku 4.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Haiku 4.5 gives you the larger context window at 200K, compared with 128K for Qwen3 235B 2507 (Reasoning).

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 and Qwen3 235B 2507 (Reasoning)
CategoryClaude Haiku 4.5ΔQwen3 235B 2507 (Reasoning)
MathClaude Haiku 4.54.9Margin 1.5Qwen3 235B 2507 (Reasoning)6.4
CodingClaude Haiku 4.573.3MarginNo overlapQwen3 235B 2507 (Reasoning)Not measured

Decisive benchmark drivers

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

More
A · Claude Haiku 4.5B · Qwen3 235B 2507 (Reasoning)
  1. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 5.903%B 8.481%
    Winner: Qwen3 235B 2507 (Reasoning)Δ 2.6
    FrontierMath v2 (Tiers 1-3): Claude Haiku 4.5 scored 5.903%; Qwen3 235B 2507 (Reasoning) scored 8.481%. Qwen3 235B 2507 (Reasoning) wins this benchmark.
  2. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 2.083%B 0.000%
    Winner: Claude Haiku 4.5Δ 2.1
    FrontierMath v2 (Tier 4): Claude Haiku 4.5 scored 2.083%; Qwen3 235B 2507 (Reasoning) scored 0.000%. Claude Haiku 4.5 wins this benchmark.

Operational comparison

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

MetricClaude Haiku 4.5Qwen3 235B 2507 (Reasoning)Comparison
Input / output priceUSD per 1M tokensClaude Haiku 4.5$1 input / $5 outputQwen3 235B 2507 (Reasoning)$0 input / $0 outputQwen3 235B 2507 (Reasoning) has the lower combined listed price.
Generation speedtokens per secondClaude Haiku 4.5Not availableQwen3 235B 2507 (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Haiku 4.5Not availableQwen3 235B 2507 (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Haiku 4.5200KQwen3 235B 2507 (Reasoning)128KClaude Haiku 4.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Haiku 4.5Qwen3 235B 2507 (Reasoning)Result
JobBenchSource 16.0%Not comparable
Coding
BenchmarkClaude Haiku 4.5Qwen3 235B 2507 (Reasoning)Result
SWE-bench VerifiedSource 73.3%Not comparable
MathQwen3 235B 2507 (Reasoning) wins
BenchmarkClaude Haiku 4.5Qwen3 235B 2507 (Reasoning)Result
FrontierMath v2 (Tiers 1-3)Source 5.903%8.481%Qwen3 235B 2507 (Reasoning) leads
FrontierMath v2 (Tier 4)Source 2.083%0.000%Claude Haiku 4.5 leads
Multimodal
BenchmarkClaude Haiku 4.5Qwen3 235B 2507 (Reasoning)Result
Design Arena WebsiteSource 1154Not comparable
Frequently Asked Questions (2)

Which is better, Claude Haiku 4.5 or Qwen3 235B 2507 (Reasoning)?

Qwen3 235B 2507 (Reasoning) is ahead on BenchLM's BenchAlign leaderboard, 58.01 to 56.58. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 5.903% and 8.481%.

Which is better for math, Claude Haiku 4.5 or Qwen3 235B 2507 (Reasoning)?

Qwen3 235B 2507 (Reasoning) has the edge for math in this comparison, averaging 6.4 versus 4.9. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 20, 2026

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