Model comparison
GPT-5.3 Codex vs MiMo-V2.5
Head-to-head evidence from 4 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.3 Codex #26 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.3 Codex and MiMo-V2.5 share 4 comparable benchmark results. 2 of 8 categories are comparable. 17 results are unique to GPT-5.3 Codex; 7 to MiMo-V2.5.
Updated July 21, 2026- Shared results
- 4
- GPT-5.3 Codex only
- 17
- MiMo-V2.5 only
- 7
- Comparable categories
- 2 / 8
Pick GPT-5.3 Codex if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 3 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 BenchAlign aggregate, 66.69 to 58.62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3 Codex's sharpest advantage is in coding, where it averages 67.2 against 56.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 77.3% to 65.8%.
MiMo-V2.5 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 | GPT-5.3 Codex | Δ | MiMo-V2.5 |
|---|---|---|---|
| Coding | GPT-5.3 Codex67.2 | Margin← 11.1 | MiMo-V2.556.1 |
| Agentic | GPT-5.3 Codex71.4 | Margin← 5.6 | MiMo-V2.565.8 |
| Multimodal | GPT-5.3 CodexNot measured | MarginNo overlap | MiMo-V2.579.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 77.3%B 65.8%Winner: GPT-5.3 CodexΔ 11.5Terminal-Bench 2.0: GPT-5.3 Codex scored 77.3%; MiMo-V2.5 scored 65.8%. GPT-5.3 Codex wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 56.8%B 56.1%Winner: GPT-5.3 CodexΔ 0.7SWE-bench Pro: GPT-5.3 Codex scored 56.8%; MiMo-V2.5 scored 56.1%. GPT-5.3 Codex wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.3 Codex | MiMo-V2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.3 Codex$1.75 input / $14 output | MiMo-V2.5Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.3 Codex79 tok/s | MiMo-V2.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.3 Codex88.26 s | MiMo-V2.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.3 Codex400K | MiMo-V2.51M | MiMo-V2.5 lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.3 Codex wins8 benchmarks
| Benchmark | GPT-5.3 Codex | MiMo-V2.5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 77.3% | 65.8% | GPT-5.3 Codex leads |
| OSWorld-VerifiedSource | 64.7% | — | Not comparable |
| τ²-bench resultsSource | 86% | — | Not comparable |
| Gert LabsSource | 57.47% | 46.89% | GPT-5.3 Codex leads |
| JobBenchSource | 33.7% | — | Not comparable |
| Claw-EvalSource | — | 62.3% | Not comparable |
| MM-ClawBenchSource | — | 23.8% | Not comparable |
| ResearchClawBenchSource | — | 16.9% | Not comparable |
CodingGPT-5.3 Codex wins6 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-5.3 Codex | MiMo-V2.5 | Result |
|---|---|---|---|
| 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 |
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.3 Codex | MiMo-V2.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.4% | — | Not comparable |
Frequently Asked Questions (3)
Which is better, GPT-5.3 Codex or MiMo-V2.5?
GPT-5.3 Codex is ahead on BenchLM's BenchAlign leaderboard, 66.69 to 58.62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 77.3% and 65.8%.
Which is better for coding, GPT-5.3 Codex or MiMo-V2.5?
GPT-5.3 Codex has the edge for coding in this comparison, averaging 67.2 versus 56.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.3 Codex or MiMo-V2.5?
GPT-5.3 Codex has the edge for agentic tasks in this comparison, averaging 71.4 versus 65.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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