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Model comparison

Qwen3.5-122B-A10B vs Step 3.7 Flash

Data verified

Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.5/100
Margin
9.7pts
← winning
50.76/100
1 category wins1 category wins

Verified leaderboard positions: Qwen3.5-122B-A10B #25; Step 3.7 Flash unranked

BenchAlign evidence: Qwen3.5-122B-A10B supported; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5-122B-A10B and Step 3.7 Flash share 20 comparable benchmark results. 2 of 8 categories are comparable. 12 results are unique to Qwen3.5-122B-A10B; 10 to Step 3.7 Flash.

Updated July 16, 2026
Shared results
20
Qwen3.5-122B-A10B only
12
Step 3.7 Flash only
10
Comparable categories
2 / 8

Pick Qwen3.5-122B-A10B if you want the stronger benchmark profile. Step 3.7 Flash only becomes the better choice if agentic is the priority.

Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3.5-122B-A10B has the cleaner provisional overall profile here, landing at 59 versus 57. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Qwen3.5-122B-A10B's sharpest advantage is in coding, where it averages 72 against 56.3. The single biggest benchmark swing on the page is BrowseComp, 63.8% to 75.8%. Step 3.7 Flash does hit back in agentic, so the answer changes if that is the part of the workload you care about most.

Step 3.7 Flash is also the more expensive model on tokens at $0.20 input / $1.15 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. Qwen3.5-122B-A10B gives you the larger context window at 262K, compared with 256K for Step 3.7 Flash.

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 Qwen3.5-122B-A10B and Step 3.7 Flash
CategoryQwen3.5-122B-A10BΔStep 3.7 Flash
CodingQwen3.5-122B-A10B72.0Margin 15.7Step 3.7 Flash56.3
AgenticQwen3.5-122B-A10B56.4Margin 10.0Step 3.7 Flash66.4
ReasoningQwen3.5-122B-A10B60.2MarginNo overlapStep 3.7 FlashNot measured
KnowledgeQwen3.5-122B-A10B83.6MarginNo overlapStep 3.7 FlashNot measured
MultilingualQwen3.5-122B-A10B82.2MarginNo overlapStep 3.7 FlashNot measured
MultimodalQwen3.5-122B-A10B77.2MarginNo overlapStep 3.7 FlashNot measured
Inst. FollowingQwen3.5-122B-A10B93.4MarginNo overlapStep 3.7 FlashNot measured

Decisive benchmark drivers

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

More
A · Qwen3.5-122B-A10BB · Step 3.7 Flash
  1. BrowseComp

    Agentic
    Source ↗
    A 63.8%B 75.8%
    Winner: Step 3.7 FlashΔ 12
    BrowseComp: Qwen3.5-122B-A10B scored 63.8%; Step 3.7 Flash scored 75.8%. Step 3.7 Flash wins this benchmark.
  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 49.4%B 59.5%
    Winner: Step 3.7 FlashΔ 10.1
    Terminal-Bench 2.0: Qwen3.5-122B-A10B scored 49.4%; Step 3.7 Flash scored 59.5%. Step 3.7 Flash wins this benchmark.

Operational comparison

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

MetricQwen3.5-122B-A10BStep 3.7 FlashComparison
Input / output priceUSD per 1M tokensQwen3.5-122B-A10B$0 input / $0 outputStep 3.7 Flash$0.2 input / $1.15 outputQwen3.5-122B-A10B has the lower combined listed price.
Generation speedtokens per secondQwen3.5-122B-A10BNot availableStep 3.7 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5-122B-A10BNot availableStep 3.7 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5-122B-A10B262KStep 3.7 Flash256KQwen3.5-122B-A10B lists the larger context window.

Benchmark Deep Dive

AgenticStep 3.7 Flash wins
BenchmarkQwen3.5-122B-A10BStep 3.7 FlashResult
Terminal-Bench 2.0Source 49.4%59.5%Step 3.7 Flash leads
BrowseCompSource 63.8%75.8%Step 3.7 Flash leads
OSWorld-VerifiedSource 58%Not comparable
τ²-bench resultsSource 93.6%98.5%Step 3.7 Flash leads
AA Agentic IndexSource 20.7%21.5%Step 3.7 Flash leads
GDPval-AASource 23.9%25.9%Step 3.7 Flash leads
GDPval-AASource 9781017Step 3.7 Flash leads
DeepSearchQASource 92.8%Not comparable
ToolathlonSource 49.5%Not comparable
Claw-EvalSource 67.1%Not comparable
HLE w/ toolsSource 47.2%Not comparable
Gert LabsSource 51.57%Not comparable
APEX-Agents-AASource 14.8%Not comparable
CodingQwen3.5-122B-A10B wins
BenchmarkQwen3.5-122B-A10BStep 3.7 FlashResult
SWE-bench VerifiedSource 72%Not comparable
AA Coding IndexSource 45.7%39.6%Qwen3.5-122B-A10B leads
Terminal-Bench HardSource 31.1%35.6%Step 3.7 Flash leads
AA-SciCodeSource 42.0%40.0%Qwen3.5-122B-A10B leads
SWE-bench ProSource 56.3%Not comparable
Terminal-Bench 2.0Source 59.5%Not comparable
Reasoning
BenchmarkQwen3.5-122B-A10BStep 3.7 FlashResult
LongBench v2Source 60.2%Not comparable
AA-LCRSource 66.7%63.7%Qwen3.5-122B-A10B leads
CritPtSource 0.6%2.3%Step 3.7 Flash leads
Knowledge
BenchmarkQwen3.5-122B-A10BStep 3.7 FlashResult
MMLU-ProSource 86.7%Not comparable
SuperGPQASource 67.1%Not comparable
GPQASource 86.6%Not comparable
Artificial Analysis Intelligence IndexSource 32.3%30.3%Qwen3.5-122B-A10B leads
AA-GPQA DiamondSource 85.7%80.9%Qwen3.5-122B-A10B leads
AA-HLESource 23.4%19.9%Qwen3.5-122B-A10B leads
AA-Omniscience IndexSource -39.6%-37.5%Step 3.7 Flash leads
AA-Omniscience AccuracySource 24.7%25.4%Step 3.7 Flash leads
AA-Omniscience Hallucination RateSource 85.5%84.4%Step 3.7 Flash leads
Multilingual
BenchmarkQwen3.5-122B-A10BStep 3.7 FlashResult
MMLU-ProXSource 82.2%Not comparable
Multimodal
BenchmarkQwen3.5-122B-A10BStep 3.7 FlashResult
MMMUSource 83.9%Not comparable
MMVUSource 74.7%Not comparable
MathVisionSource 86.2%Not comparable
CharXivSource 77.2%Not comparable
V*Source 93.2%95.3%Step 3.7 Flash leads
AA-MMMU-ProSource 75.0%75.3%Step 3.7 Flash leads
SimpleVQASource 79.2%Not comparable
Design Arena WebsiteSource 1218Not comparable
Inst. Following
BenchmarkQwen3.5-122B-A10BStep 3.7 FlashResult
IFEvalSource 93.4%Not comparable
AA-IFBenchSource 75.7%67.3%Qwen3.5-122B-A10B leads
Frequently Asked Questions (3)

Which is better, Qwen3.5-122B-A10B or Step 3.7 Flash?

Qwen3.5-122B-A10B is ahead on BenchLM's provisional leaderboard, 59 to 57. The biggest single separator in this matchup is BrowseComp, where the scores are 63.8% and 75.8%.

Which is better for coding, Qwen3.5-122B-A10B or Step 3.7 Flash?

Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 56.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Qwen3.5-122B-A10B or Step 3.7 Flash?

Step 3.7 Flash has the edge for agentic tasks in this comparison, averaging 66.4 versus 56.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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Last updated: July 16, 2026

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