Model comparison
GPT-5.2-Codex vs MiniMax M1 80k
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2-Codex #58 (Supported); MiniMax M1 80k #190 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2-Codex and MiniMax M1 80k share 0 comparable benchmark results. 0 of 8 categories are comparable. 15 results are unique to GPT-5.2-Codex; 0 to MiniMax M1 80k.
Updated July 21, 2026- Shared results
- 0
- GPT-5.2-Codex only
- 15
- MiniMax M1 80k only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.2-Codex and MiniMax M1 80k 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 MiniMax M1 80k yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
GPT-5.2-Codex has the larger context window at 400K, compared with 80K for MiniMax M1 80k.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2-Codex | MiniMax M1 80k | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2-Codex$1.75 input / $14 output | MiniMax M1 80kNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.2-Codex123 tok/s | MiniMax M1 80kNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2-Codex87.34 s | MiniMax M1 80kNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2-Codex400K | MiniMax M1 80k80K | GPT-5.2-Codex lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-5.2-Codex | MiniMax M1 80k | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.1% | — | Not comparable |
| AA-GPQA DiamondSource | 89.9% | — | Not comparable |
| AA-HLESource | 33.5% | — | Not comparable |
| AA-Omniscience IndexSource | -2.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 40.7% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 72.8% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-5.2-Codex | MiniMax M1 80k | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 76.3% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.2-Codex | MiniMax M1 80k | Result |
|---|---|---|---|
| AA-IFBenchSource | 77.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.2-Codex and MiniMax M1 80k 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-5.2-Codex and MiniMax M1 80k today?
GPT-5.2-Codex: $1.75 input / $14.00 output per 1M tokens MiniMax M1 80k: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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