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Model comparison

GPT-5.3 Codex vs MiniMax M3

Data verified

Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

66.69/100
Margin
3.1pts
winning →
MiniMax M3
MiniMax
69.8/100
0 category wins2 category wins

Verified leaderboard positions: GPT-5.3 Codex unranked; MiniMax M3 #18

BenchAlign evidence: GPT-5.3 Codex supported; MiniMax M3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.3 Codex and MiniMax M3 share 18 comparable benchmark results. 2 of 8 categories are comparable. 4 results are unique to GPT-5.3 Codex; 27 to MiniMax M3.

Updated July 16, 2026
Shared results
18
GPT-5.3 Codex only
4
MiniMax M3 only
27
Comparable categories
2 / 8

Pick GPT-5.3 Codex if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if coding is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 18 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

GPT-5.3 Codex is clearly ahead on the provisional aggregate, 82 to 70. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.3 Codex is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 11.7x on output cost alone. GPT-5.3 Codex is the reasoning model in the pair, while MiniMax M3 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. MiniMax M3 gives you the larger context window at 1M, compared with 400K for GPT-5.3 Codex.

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 M3
CategoryGPT-5.3 CodexΔMiniMax M3
CodingGPT-5.3 Codex67.2Margin→ 5.0MiniMax M372.2
AgenticGPT-5.3 Codex71.4Margin→ 0.9MiniMax M372.3
MathGPT-5.3 CodexNot measuredMarginNo overlapMiniMax M385.7
MultimodalGPT-5.3 CodexNot measuredMarginNo overlapMiniMax M364.9

Decisive benchmark drivers

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

More
A · GPT-5.3 CodexB · MiniMax M3

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 77.3%B 66%
    Winner: GPT-5.3 CodexΔ 11.3
    Terminal-Bench 2.0: GPT-5.3 Codex scored 77.3%; MiniMax M3 scored 66%. GPT-5.3 Codex wins this benchmark.

  2. OSWorld-Verified

    Agentic
    Source ↗
    A 64.7%B 70.1%
    Winner: MiniMax M3Δ 5.4
    OSWorld-Verified: GPT-5.3 Codex scored 64.7%; MiniMax M3 scored 70.1%. MiniMax M3 wins this benchmark.

  3. SWE-bench Verified

    Coding
    Source ↗
    A 85%B 80.5%
    Winner: GPT-5.3 CodexΔ 4.5
    SWE-bench Verified: GPT-5.3 Codex scored 85%; MiniMax M3 scored 80.5%. GPT-5.3 Codex wins this benchmark.

  4. SWE-bench Pro

    Coding
    Source ↗
    A 56.8%B 59%
    Winner: MiniMax M3Δ 2.2
    SWE-bench Pro: GPT-5.3 Codex scored 56.8%; MiniMax M3 scored 59%. MiniMax M3 wins this benchmark.

Operational comparison

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

MetricGPT-5.3 CodexMiniMax M3Comparison
Input / output priceUSD per 1M tokensGPT-5.3 Codex$1.75 input / $14 outputMiniMax M3$0.3 input / $1.2 outputMiniMax M3 has the lower combined listed price.
Generation speedtokens per secondGPT-5.3 Codex79 tok/sMiniMax M3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.3 Codex88.26 sMiniMax M3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.3 Codex400KMiniMax M31MMiniMax M3 lists the larger context window.

Benchmark Deep Dive

AgenticMiniMax M3 wins
BenchmarkGPT-5.3 CodexMiniMax M3Result
Terminal-Bench 2.0Source 77.3%66%GPT-5.3 Codex leads
OSWorld-VerifiedSource 64.7%70.1%MiniMax M3 leads
τ²-bench resultsSource 86%88.9%MiniMax M3 leads
Gert LabsSource 57.47%—Not comparable
JobBenchSource 33.7%—Not comparable
BrowseCompSource —83.5%Not comparable
MCP AtlasSource —74.2%Not comparable
Claw-EvalSource —74.5%Not comparable
AA Agentic IndexSource —35.4%Not comparable
GDPval-AASource —44.7%Not comparable
GDPval-AASource —1395Not comparable
GDPval rubricsSource —74.7%Not comparable
BankerToolBenchSource —76.1%Not comparable
ResearchClawBenchSource —19.8%Not comparable
OSWorld 2.0Source —4.6%Not comparable
AA BriefcaseSource —1110Not comparable
AA EnterpriseOps-GymSource —32.1%Not comparable
AA Harvey LABSource —6.7%Not comparable
CodingMiniMax M3 wins
BenchmarkGPT-5.3 CodexMiniMax M3Result
SWE-bench VerifiedSource 85%80.5%GPT-5.3 Codex leads
SWE-bench ProSource 56.8%59%MiniMax M3 leads
SWE-RebenchSource 58.2%—Not comparable
Vibe Code BenchSource 61.77%—Not comparable
Terminal-Bench HardSource 53.0%42.4%GPT-5.3 Codex leads
AA-SciCodeSource 53.2%45.4%GPT-5.3 Codex leads
Terminal-Bench 2.0Source —66.0%Not comparable
NL2RepoSource —42.1%Not comparable
AA Coding IndexSource —58.6%Not comparable
VIBE V2Source —50.1%Not comparable
SVG-BenchSource —63.7%Not comparable
KernelBench HardSource —28.8%Not comparable
AA Terminal-Bench 2.1Source —65.2%Not comparable
Reasoning
BenchmarkGPT-5.3 CodexMiniMax M3Result
AA-LCRSource 74.0%74.0%Tie
CritPtSource 16.9%3.7%GPT-5.3 Codex leads
Knowledge
BenchmarkGPT-5.3 CodexMiniMax M3Result
Artificial Analysis Intelligence IndexSource 44.3%44.4%MiniMax M3 leads
AA-GPQA DiamondSource 91.5%92.9%MiniMax M3 leads
AA-HLESource 39.9%37.1%GPT-5.3 Codex leads
AA-Omniscience IndexSource 9.9%1.4%GPT-5.3 Codex leads
AA-Omniscience AccuracySource 51.8%15.0%GPT-5.3 Codex leads
AA-Omniscience Hallucination RateSource 86.9%16.1%MiniMax M3 leads
AA Openness IndexSource —33.3%Not comparable
Math
BenchmarkGPT-5.3 CodexMiniMax M3Result
USAMO 2026Source —85.7%Not comparable
Multimodal
BenchmarkGPT-5.3 CodexMiniMax M3Result
AA-MMMU-ProSource 78.5%78.6%MiniMax M3 leads
Design Arena WebsiteSource 11971294MiniMax M3 leads
OfficeQA ProSource —45.1%Not comparable
OmniDocBench 1.5Source —91.6%Not comparable
MMMU-ProSource —78.1%Not comparable
VideoMMMUSource —84.6%Not comparable
Video-MME (with subtitle)Source —85.4%Not comparable
Inst. Following
BenchmarkGPT-5.3 CodexMiniMax M3Result
AA-IFBenchSource 75.4%82.9%MiniMax M3 leads
Frequently Asked Questions (3)

Which is better, GPT-5.3 Codex or MiniMax M3?

GPT-5.3 Codex is ahead on BenchLM's provisional leaderboard, 82 to 70. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 77.3% and 66%.

Which is better for coding, GPT-5.3 Codex or MiniMax M3?

MiniMax M3 has the edge for coding in this comparison, averaging 72.2 versus 67.2. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.3 Codex or MiniMax M3?

MiniMax M3 has the edge for agentic tasks in this comparison, averaging 72.3 versus 71.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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