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Model comparison

GPT-5.3-Codex-Spark vs Llama 4 Maverick

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
22.7/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.3-Codex-Spark #79 (Estimated); Llama 4 Maverick #201 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.3-Codex-Spark and Llama 4 Maverick share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-5.3-Codex-Spark; 18 to Llama 4 Maverick.

Updated July 28, 2026
Shared results
0
GPT-5.3-Codex-Spark only
0
Llama 4 Maverick only
18
Comparable categories
0 / 8

Benchmark data for GPT-5.3-Codex-Spark and Llama 4 Maverick 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.

Llama 4 Maverick has the larger context window at 1M, 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-SparkLlama 4 MaverickComparison
Input / output priceUSD per 1M tokensGPT-5.3-Codex-SparkNot availableLlama 4 Maverick$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondGPT-5.3-Codex-SparkNot availableLlama 4 Maverick121 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.3-Codex-SparkNot availableLlama 4 Maverick0.95 sA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.3-Codex-Spark256KLlama 4 Maverick1MLlama 4 Maverick lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.3-Codex-SparkLlama 4 MaverickResult
AA Agentic IndexSource 1.3%Not comparable
τ²-bench resultsSource 17.8%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 7Not comparable
Coding
BenchmarkGPT-5.3-Codex-SparkLlama 4 MaverickResult
AA Coding IndexSource 16.3%Not comparable
AA-SciCodeSource 33.1%Not comparable
Reasoning
BenchmarkGPT-5.3-Codex-SparkLlama 4 MaverickResult
AA-LCRSource 46.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGPT-5.3-Codex-SparkLlama 4 MaverickResult
Artificial Analysis Intelligence IndexSource 14.3%Not comparable
AA-GPQA DiamondSource 67.1%Not comparable
AA-HLESource 4.8%Not comparable
AA-Omniscience IndexSource -41.8%Not comparable
AA-Omniscience AccuracySource 24.3%Not comparable
AA-Omniscience Hallucination RateSource 87.3%Not comparable
Math
BenchmarkGPT-5.3-Codex-SparkLlama 4 MaverickResult
FrontierMath v2 (Tiers 1-3)Source 0.690%Not comparable
Multimodal
BenchmarkGPT-5.3-Codex-SparkLlama 4 MaverickResult
AA-MMMU-ProSource 62.1%Not comparable
Design Arena WebsiteSource 896Not comparable
Inst. Following
BenchmarkGPT-5.3-Codex-SparkLlama 4 MaverickResult
AA-IFBenchSource 43.0%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.3-Codex-Spark and Llama 4 Maverick 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 Llama 4 Maverick today?

GPT-5.3-Codex-Spark: Pricing unavailable Llama 4 Maverick: $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.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

GPT-5.3-Codex-Spark
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Llama 4 Maverick
API / mo$0
Self-host / mo$2,610
Break-even
Model the full break-even

Related Comparisons

Last updated: July 28, 2026

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