Model comparison
GPT-5.2-Codex vs Inkling
Head-to-head evidence from 10 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: GPT-5.2-Codex unranked; Inkling #17
BenchAlign evidence: GPT-5.2-Codex supported; Inkling not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2-Codex and Inkling share 10 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to GPT-5.2-Codex; 22 to Inkling.
Updated July 16, 2026- Shared results
- 10
- GPT-5.2-Codex only
- 6
- Inkling only
- 22
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.2-Codex and Inkling is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 10 shared benchmark results across 4 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
GPT-5.2-Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $1.87 input / $4.68 output per 1M tokens for Inkling. Inkling has the larger context window at 1M, compared with 400K for GPT-5.2-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-5.2-Codex | Δ | Inkling |
|---|---|---|---|
| Agentic | GPT-5.2-CodexNot measured | MarginNo overlap | Inkling69.4 |
| Coding | GPT-5.2-CodexNot measured | MarginNo overlap | Inkling68.6 |
| Knowledge | GPT-5.2-CodexNot measured | MarginNo overlap | Inkling51.7 |
| Math | GPT-5.2-CodexNot measured | MarginNo overlap | Inkling97.1 |
| Multimodal | GPT-5.2-CodexNot measured | MarginNo overlap | Inkling76.5 |
| Inst. Following | GPT-5.2-CodexNot measured | MarginNo overlap | Inkling79.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2-Codex | Inkling | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2-Codex$1.75 input / $14 output | Inkling$1.87 input / $4.68 output | Inkling has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.2-Codex123 tok/s | InklingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2-Codex87.34 s | InklingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2-Codex400K | Inkling1M | Inkling lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | GPT-5.2-Codex | Inkling | Result |
|---|---|---|---|
| τ²-bench resultsSource | 92.1% | — | Not comparable |
| Gert LabsSource | 51.79% | — | Not comparable |
| JobBenchSource | 26.0% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 63.8% | Not comparable |
| BrowseCompSource | — | 77.1% | Not comparable |
| MCP AtlasSource | — | 74.1% | Not comparable |
| Design Arena Agentic Web DevSource | — | 1258 | Not comparable |
| AA Agentic IndexSource | — | 32.3% | Not comparable |
| GDPval-AASource | — | 36.9% | Not comparable |
| GDPval-AASource | — | 1239 | Not comparable |
| AA BriefcaseSource | — | 836 | Not comparable |
| AA Tau3 BankingSource | — | 23.7% | Not comparable |
Coding7 benchmarks
| Benchmark | GPT-5.2-Codex | Inkling | Result |
|---|---|---|---|
| Vibe Code BenchSource | 37.91% | — | Not comparable |
| Terminal-Bench HardSource | 37.1% | — | Not comparable |
| AA-SciCodeSource | 54.6% | 46.1% | GPT-5.2-Codex leads |
| SWE-bench VerifiedSource | — | 77.6% | Not comparable |
| SWE-bench ProSource | — | 54.3% | Not comparable |
| Terminal-Bench 2.0Source | — | 63.8% | Not comparable |
| AA Coding IndexSource | — | 52.1% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.2-Codex | Inkling | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.1% | 40.7% | Inkling leads |
| AA-GPQA DiamondSource | 89.9% | 87.2% | GPT-5.2-Codex leads |
| AA-HLESource | 33.5% | 29.7% | GPT-5.2-Codex leads |
| AA-Omniscience IndexSource | -2.5% | 2.1% | Inkling leads |
| AA-Omniscience AccuracySource | 40.7% | 40.0% | GPT-5.2-Codex leads |
| AA-Omniscience Hallucination RateSource | 72.8% | 63.1% | Inkling leads |
| GPQASource | — | 87.9% | Not comparable |
| GPQA-DSource | — | 87.9% | Not comparable |
| HLESource | — | 46% | Not comparable |
| HLE w/o toolsSource | — | 30% | Not comparable |
Math1 benchmarks
| Benchmark | GPT-5.2-Codex | Inkling | Result |
|---|---|---|---|
| AIME26Source | — | 97.1% | Not comparable |
Multimodal4 benchmarks
Frequently Asked Questions (3)
Can I compare GPT-5.2-Codex and Inkling 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 Inkling today?
GPT-5.2-Codex: $1.75 input / $14.00 output per 1M tokens Inkling: $1.87 input / $4.68 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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