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Model comparison

GPT-5.3 Codex vs MiniMax M2.5

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.

66.69/100
Margin
7.2pts
← winning
59.52/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.3 Codex #26 (Supported); MiniMax M2.5 #55 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.3 Codex and MiniMax M2.5 share 1 comparable benchmark result. 0 of 8 categories are comparable. 20 results are unique to GPT-5.3 Codex; 0 to MiniMax M2.5.

Updated July 20, 2026
Shared results
1
GPT-5.3 Codex only
20
MiniMax M2.5 only
0
Comparable categories
0 / 8

Benchmark data for GPT-5.3 Codex and MiniMax M2.5 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.

GPT-5.3 Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.5. GPT-5.3 Codex has the larger context window at 400K, compared with 128K for MiniMax M2.5.

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 GPT-5.3 Codex and MiniMax M2.5
CategoryGPT-5.3 CodexΔMiniMax M2.5
AgenticGPT-5.3 Codex71.4MarginNo overlapMiniMax M2.5Not measured
CodingGPT-5.3 Codex67.2MarginNo overlapMiniMax M2.5Not measured

Operational comparison

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

MetricGPT-5.3 CodexMiniMax M2.5Comparison
Input / output priceUSD per 1M tokensGPT-5.3 Codex$1.75 input / $14 outputMiniMax M2.5$0.3 input / $1.2 outputMiniMax M2.5 has the lower combined listed price.
Generation speedtokens per secondGPT-5.3 Codex79 tok/sMiniMax M2.546 tok/sGPT-5.3 Codex has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5.3 Codex88.26 sMiniMax M2.52.12 sMiniMax M2.5 reaches the first token sooner.
Context windowmaximum listed tokensGPT-5.3 Codex400KMiniMax M2.5128KGPT-5.3 Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.3 CodexMiniMax M2.5Result
Terminal-Bench 2.0Source 77.3%Not comparable
OSWorld-VerifiedSource 64.7%Not comparable
τ²-bench resultsSource 86%Not comparable
Gert LabsSource 57.47%Not comparable
JobBenchSource 33.7%Not comparable
Coding
BenchmarkGPT-5.3 CodexMiniMax M2.5Result
SWE-bench VerifiedSource 85%Not comparable
SWE-bench ProSource 56.8%Not comparable
SWE-RebenchSource 58.2%Not comparable
Vibe Code BenchSource 61.77%14.85%GPT-5.3 Codex leads
AA-SciCodeSource 53.2%Not comparable
Reasoning
BenchmarkGPT-5.3 CodexMiniMax M2.5Result
AA-LCRSource 74.0%Not comparable
CritPtSource 16.9%Not comparable
Knowledge
BenchmarkGPT-5.3 CodexMiniMax M2.5Result
Artificial Analysis Intelligence IndexSource 44.3%Not comparable
AA-GPQA DiamondSource 91.5%Not comparable
AA-HLESource 39.9%Not comparable
AA-Omniscience IndexSource 9.9%Not comparable
AA-Omniscience AccuracySource 51.8%Not comparable
AA-Omniscience Hallucination RateSource 86.9%Not comparable
Multimodal
BenchmarkGPT-5.3 CodexMiniMax M2.5Result
AA-MMMU-ProSource 78.5%Not comparable
Design Arena WebsiteSource 1195Not comparable
Inst. Following
BenchmarkGPT-5.3 CodexMiniMax M2.5Result
AA-IFBenchSource 75.4%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.3 Codex and MiniMax M2.5 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 and MiniMax M2.5 today?

GPT-5.3 Codex: $1.75 input / $14.00 output per 1M tokens MiniMax M2.5: $0.30 input / $1.20 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 20, 2026

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