Model comparison
GPT-5.6 Sol vs Interfaze Beta
Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Interfaze Beta unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and Interfaze Beta share 3 comparable benchmark results. 2 of 8 categories are comparable. 43 results are unique to GPT-5.6 Sol; 7 to Interfaze Beta.
Updated July 23, 2026- Shared results
- 3
- GPT-5.6 Sol only
- 43
- Interfaze Beta only
- 7
- Comparable categories
- 2 / 8
Treat this as a split decision. GPT-5.6 Sol makes more sense if multimodal & grounded is the priority; Interfaze Beta is the better fit if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 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-5.6 Sol and Interfaze Beta finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. That is roughly 8.6x on output cost alone.
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-5.6 Sol | Δ | Interfaze Beta |
|---|---|---|---|
| Multimodal | GPT-5.6 Sol83.0 | Margin← 11.9 | Interfaze Beta71.1 |
| Knowledge | GPT-5.6 Sol94.6 | Margin← 4.7 | Interfaze Beta89.9 |
| Agentic | GPT-5.6 Sol92.0 | MarginNo overlap | Interfaze BetaNot measured |
| Coding | GPT-5.6 Sol64.6 | MarginNo overlap | Interfaze BetaNot measured |
| Math | GPT-5.6 Sol87.5 | MarginNo overlap | Interfaze BetaNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMMU-Pro
MultimodalA 83%B 71.1%Winner: GPT-5.6 SolΔ 11.9MMMU-Pro: GPT-5.6 Sol scored 83%; Interfaze Beta scored 71.1%. GPT-5.6 Sol wins this benchmark. - Source ↗
GPQA
KnowledgeA 94.6%B 89.9%Winner: GPT-5.6 SolΔ 4.7GPQA: GPT-5.6 Sol scored 94.6%; Interfaze Beta scored 89.9%. GPT-5.6 Sol wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.6 Sol | Interfaze Beta | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | Interfaze Beta$1.5 input / $3.5 output | Interfaze Beta has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.6 SolNot available | Interfaze BetaNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | Interfaze BetaNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | Interfaze Beta1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | GPT-5.6 Sol | Interfaze Beta | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 91.9% | — | Not comparable |
| BrowseCompSource | 92.2% | — | Not comparable |
| OSWorld 2.0Source | 62.6% | — | Not comparable |
| CyberGymSource | 84.5% | — | Not comparable |
| ExploitGymSource | 33.7% | — | Not comparable |
| ToolathlonSource | 58% | — | Not comparable |
| AA Agentic IndexSource | 54.0% | — | Not comparable |
| τ²-bench resultsSource | 85.1% | — | Not comparable |
| GDPval-AASource | 61.8% | — | Not comparable |
| GDPval-AASource | 1736 | — | Not comparable |
| AA BriefcaseSource | 1501 | — | Not comparable |
| AA ITBenchSource | 56.2% | — | Not comparable |
| AA Tau3 BankingSource | 33.0% | — | Not comparable |
| AA AutomationBenchSource | 51.2% | — | Not comparable |
| AA Harvey LABSource | 87.2% | — | Not comparable |
| terminalBenchHardSource | 65.9% | — | Not comparable |
| aaTerminalBench21Source | 88% | — | Not comparable |
Coding9 benchmarks
| Benchmark | GPT-5.6 Sol | Interfaze Beta | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.6% | — | Not comparable |
| Terminal-Bench 2.0Source | 91.9% | — | Not comparable |
| deepSweSource | 72.7% | — | Not comparable |
| FrontierCode 1.1 ExtendedSource | 60.6% | — | Not comparable |
| cursorBench32Source | 67.2% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 77.4% | — | Not comparable |
| AA-SciCodeSource | 56.1% | — | Not comparable |
| Spider 2.0-LiteSource | — | 52.9% | Not comparable |
Reasoning4 benchmarks
KnowledgeGPT-5.6 Sol wins11 benchmarks
| Benchmark | GPT-5.6 Sol | Interfaze Beta | Result |
|---|---|---|---|
| GPQASource | 94.6% | 89.9% | GPT-5.6 Sol leads |
| GPQA-DSource | 94.6% | 89.9% | GPT-5.6 Sol leads |
| HealthBench ProfessionalSource | 60.5% | — | Not comparable |
| HealthBench HardSource | 33.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 58.9% | — | Not comparable |
| AA-GPQA DiamondSource | 94.1% | — | Not comparable |
| AA-HLESource | 47.2% | — | Not comparable |
| AA-Omniscience IndexSource | 21.7% | — | Not comparable |
| AA-Omniscience AccuracySource | 58.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 88.8% | — | Not comparable |
| MMMLUSource | — | 90.9% | Not comparable |
Math3 benchmarks
MultimodalGPT-5.6 Sol wins7 benchmarks
| Benchmark | GPT-5.6 Sol | Interfaze Beta | Result |
|---|---|---|---|
| MMMU-ProSource | 83% | 71.1% | GPT-5.6 Sol leads |
| MMMU-Pro w/ PythonSource | 84.6% | — | Not comparable |
| AA-MMMU-ProSource | 83.4% | — | Not comparable |
| OCRBench V2Source | — | 70.7% | Not comparable |
| olmOCRSource | — | 85.7% | Not comparable |
| RefCOCO (avg)Source | — | 82.1% | Not comparable |
| VoxPopuli WERSource | — | 2.4% | Not comparable |
Frequently Asked Questions (3)
Which is better, GPT-5.6 Sol or Interfaze Beta?
GPT-5.6 Sol and Interfaze Beta are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, GPT-5.6 Sol or Interfaze Beta?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 89.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.6 Sol or Interfaze Beta?
GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 71.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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