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Model comparison

GPT-5.3-Codex-Spark vs Qwen3.5-35B-A3B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
No comparison
56.97/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.3-Codex-Spark #73 (Estimated); Qwen3.5-35B-A3B #72 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.3-Codex-Spark and Qwen3.5-35B-A3B share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-5.3-Codex-Spark; 28 to Qwen3.5-35B-A3B.

Updated July 23, 2026
Shared results
0
GPT-5.3-Codex-Spark only
0
Qwen3.5-35B-A3B only
28
Comparable categories
0 / 8

Benchmark data for GPT-5.3-Codex-Spark and Qwen3.5-35B-A3B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for GPT-5.3-Codex-Spark yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Qwen3.5-35B-A3B has the larger context window at 262K, compared with 256K for GPT-5.3-Codex-Spark.

Operational comparison

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

MetricGPT-5.3-Codex-SparkQwen3.5-35B-A3BComparison
Input / output priceUSD per 1M tokensGPT-5.3-Codex-SparkNot availableQwen3.5-35B-A3B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondGPT-5.3-Codex-SparkNot availableQwen3.5-35B-A3BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.3-Codex-SparkNot availableQwen3.5-35B-A3BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.3-Codex-Spark256KQwen3.5-35B-A3B262KQwen3.5-35B-A3B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.3-Codex-SparkQwen3.5-35B-A3BResult
Terminal-Bench 2.0Source 40.5%Not comparable
BrowseCompSource 61%Not comparable
OSWorld-VerifiedSource 54.5%Not comparable
τ²-bench resultsSource 89.2%Not comparable
Gert LabsSource 28.96%Not comparable
Coding
BenchmarkGPT-5.3-Codex-SparkQwen3.5-35B-A3BResult
SWE-bench VerifiedSource 69.2%Not comparable
SWE-RebenchSource 53.7%Not comparable
AA-SciCodeSource 37.7%Not comparable
Reasoning
BenchmarkGPT-5.3-Codex-SparkQwen3.5-35B-A3BResult
LongBench v2Source 59%Not comparable
AA-LCRSource 62.7%Not comparable
CritPtSource 0.9%Not comparable
Knowledge
BenchmarkGPT-5.3-Codex-SparkQwen3.5-35B-A3BResult
MMLU-ProSource 85.3%Not comparable
SuperGPQASource 63.4%Not comparable
GPQASource 84.2%Not comparable
Artificial Analysis Intelligence IndexSource 29.3%Not comparable
AA-GPQA DiamondSource 84.5%Not comparable
AA-HLESource 19.7%Not comparable
AA-Omniscience IndexSource -46.4%Not comparable
AA-Omniscience AccuracySource 20.5%Not comparable
AA-Omniscience Hallucination RateSource 84.0%Not comparable
Multilingual
BenchmarkGPT-5.3-Codex-SparkQwen3.5-35B-A3BResult
MMLU-ProXSource 81%Not comparable
Multimodal
BenchmarkGPT-5.3-Codex-SparkQwen3.5-35B-A3BResult
MMMUSource 81.4%Not comparable
MMVUSource 72.3%Not comparable
MathVisionSource 83.9%Not comparable
V*Source 92.7%Not comparable
AA-MMMU-ProSource 72.7%Not comparable
Inst. Following
BenchmarkGPT-5.3-Codex-SparkQwen3.5-35B-A3BResult
IFEvalSource 91.9%Not comparable
AA-IFBenchSource 72.5%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.3-Codex-Spark and Qwen3.5-35B-A3B 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 GPT-5.3-Codex-Spark and Qwen3.5-35B-A3B today?

GPT-5.3-Codex-Spark: Pricing unavailable Qwen3.5-35B-A3B: $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.

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Last updated: July 23, 2026

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