Model comparison
GPT-5.5 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-5.5 #3; Inkling #17
BenchAlign evidence: GPT-5.5 supported; Inkling not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 and Inkling share 10 comparable benchmark results. 5 of 8 categories are comparable. 47 results are unique to GPT-5.5; 6 to Inkling.
Updated July 15, 2026- Shared results
- 10
- GPT-5.5 only
- 47
- Inkling only
- 6
- Comparable categories
- 5 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. Inkling only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 10 shared benchmark results across 4 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.5 is clearly ahead on the provisional aggregate, 78 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in agentic, where it averages 81.6 against 69.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 82% to 63.8%. Inkling does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $1.87 input / $4.68 output per 1M tokens for Inkling. That is roughly 6.4x on output cost alone. GPT-5.5 is the reasoning model in the pair, while Inkling 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.
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-5.5 | Δ | Inkling |
|---|---|---|---|
| Math | GPT-5.547.6 | Margin→ 49.5 | Inkling97.1 |
| Agentic | GPT-5.581.6 | Margin← 12.2 | Inkling69.4 |
| Coding | GPT-5.558.6 | Margin→ 10.0 | Inkling68.6 |
| Knowledge | GPT-5.557.8 | Margin← 6.1 | Inkling51.7 |
| Multimodal | GPT-5.570.4 | Margin→ 6.1 | Inkling76.5 |
| Reasoning | GPT-5.585.0 | MarginNo overlap | InklingNot measured |
| Inst. Following | GPT-5.5Not measured | MarginNo overlap | Inkling79.8 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 82%B 63.8%Winner: GPT-5.5Δ 18.2Terminal-Bench 2.0: GPT-5.5 scored 82%; Inkling scored 63.8%. GPT-5.5 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 81.2%B 73.5%Winner: GPT-5.5Δ 7.7MMMU-Pro: GPT-5.5 scored 81.2%; Inkling scored 73.5%. GPT-5.5 wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.4%B 77.1%Winner: GPT-5.5Δ 7.3BrowseComp: GPT-5.5 scored 84.4%; Inkling scored 77.1%. GPT-5.5 wins this benchmark. - Source ↗
HLE
KnowledgeA 52.2%B 46%Winner: GPT-5.5Δ 6.2HLE: GPT-5.5 scored 52.2%; Inkling scored 46%. GPT-5.5 wins this benchmark. - Source ↗
GPQA
KnowledgeA 93.6%B 87.9%Winner: GPT-5.5Δ 5.7GPQA: GPT-5.5 scored 93.6%; Inkling scored 87.9%. GPT-5.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 | Inkling | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5$5 input / $30 output | Inkling$1.87 input / $4.68 output | Inkling has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.5Not available | InklingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5Not available | InklingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.51M | Inkling1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.5 wins23 benchmarks
| Benchmark | GPT-5.5 | Inkling | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 82% | 63.8% | GPT-5.5 leads |
| CyberGymSource | 81.8% | — | Not comparable |
| BrowseCompSource | 84.4% | 77.1% | GPT-5.5 leads |
| OSWorld-VerifiedSource | 78.7% | — | Not comparable |
| MCP AtlasSource | 75.3% | 74.1% | GPT-5.5 leads |
| ToolathlonSource | 55.6% | — | Not comparable |
| τ²-bench resultsSource | 98% | — | Not comparable |
| AA Agentic IndexSource | 44.9% | — | Not comparable |
| APEX-Agents-AASource | 37.7% | — | Not comparable |
| GDPval-AASource | 49.7% | — | Not comparable |
| GDPval-AASource | 1494 | — | Not comparable |
| Gert LabsSource | 72.93% | — | Not comparable |
| ResearchClawBenchSource | 17.0% | — | Not comparable |
| OSWorld 2.0Source | 13.0% | — | Not comparable |
| JobBenchSource | 42.7% | — | Not comparable |
| ExploitGymSource | 13.4% | — | Not comparable |
| AA BriefcaseSource | 1158 | — | Not comparable |
| AA AutomationBenchSource | 42.1% | — | Not comparable |
| AA EnterpriseOps-GymSource | 46.6% | — | Not comparable |
| AA Harvey LABSource | 4.2% | — | Not comparable |
| AA ITBenchSource | 45.8% | — | Not comparable |
| AA Tau3 BankingSource | 31.3% | — | Not comparable |
| Design Arena Agentic Web DevSource | — | 1258 | Not comparable |
CodingInkling wins12 benchmarks
| Benchmark | GPT-5.5 | Inkling | Result |
|---|---|---|---|
| SWE-bench ProSource | 58.6% | 54.3% | GPT-5.5 leads |
| Terminal-Bench 2.0Source | 82.0% | 63.8% | GPT-5.5 leads |
| Vibe Code BenchSource | 69.85% | — | Not comparable |
| React Native EvalsSource | 84.7% | — | Not comparable |
| cursorBench31Source | 59.2% | — | Not comparable |
| cursorBench32Source | 58.4% | — | Not comparable |
| AA Coding IndexSource | 74.9% | — | Not comparable |
| Terminal-Bench HardSource | 60.6% | — | Not comparable |
| AA-SciCodeSource | 56.1% | — | Not comparable |
| FrontierCodeSource | 43.0% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 84.3% | — | Not comparable |
| SWE-bench VerifiedSource | — | 77.6% | Not comparable |
Reasoning5 benchmarks
KnowledgeGPT-5.5 wins10 benchmarks
| Benchmark | GPT-5.5 | Inkling | Result |
|---|---|---|---|
| GPQASource | 93.6% | 87.9% | GPT-5.5 leads |
| GPQA-DSource | 93.6% | 87.9% | GPT-5.5 leads |
| HLESource | 52.2% | 46% | GPT-5.5 leads |
| HLE w/o toolsSource | 41.4% | 30% | GPT-5.5 leads |
| Artificial Analysis Intelligence IndexSource | 54.8% | — | Not comparable |
| AA-GPQA DiamondSource | 93.5% | — | Not comparable |
| AA-HLESource | 44.3% | — | Not comparable |
| AA-Omniscience IndexSource | 20.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 56.9% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 85.5% | — | Not comparable |
MathInkling wins4 benchmarks
MultimodalInkling wins7 benchmarks
| Benchmark | GPT-5.5 | Inkling | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | 73.5% | GPT-5.5 leads |
| MMMU-Pro w/ PythonSource | 83.2% | — | Not comparable |
| OfficeQA ProSource | 54.1% | — | Not comparable |
| AA-MMMU-ProSource | 79.9% | — | Not comparable |
| Design Arena WebsiteSource | 1287 | — | Not comparable |
| CharXivSource | — | 82% | Not comparable |
| CharXiv w/o toolsSource | — | 78.1% | Not comparable |
Frequently Asked Questions (6)
Which is better, GPT-5.5 or Inkling?
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 78 to 69. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 82% and 63.8%.
Which is better for knowledge tasks, GPT-5.5 or Inkling?
GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 57.8 versus 51.7. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.5 or Inkling?
Inkling has the edge for coding in this comparison, averaging 68.6 versus 58.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.5 or Inkling?
Inkling has the edge for math in this comparison, averaging 97.1 versus 47.6. GPT-5.5 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GPT-5.5 or Inkling?
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.6 versus 69.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.5 or Inkling?
Inkling has the edge for multimodal and grounded tasks in this comparison, averaging 76.5 versus 70.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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