Model comparison
GPT-5.6 Sol vs Grok 4.5
Head-to-head evidence from 24 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Grok 4.5 #7 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and Grok 4.5 share 24 comparable benchmark results. 2 of 8 categories are comparable. 22 results are unique to GPT-5.6 Sol; 4 to Grok 4.5.
Updated July 23, 2026- Shared results
- 24
- GPT-5.6 Sol only
- 22
- Grok 4.5 only
- 4
- Comparable categories
- 2 / 8
Pick GPT-5.6 Sol if you want the stronger benchmark profile. Grok 4.5 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 24 shared benchmark results across 5 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 is clearly ahead on the BenchAlign aggregate, 81.96 to 76.72. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.6 Sol's sharpest advantage is in agentic, where it averages 92 against 83.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 91.9% to 83.3%. Grok 4.5 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $2.00 input / $6.00 output per 1M tokens for Grok 4.5. That is roughly 5.0x on output cost alone. GPT-5.6 Sol gives you the larger context window at 1M, compared with 500K for Grok 4.5.
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 | Grok 4.5 |
|---|---|---|---|
| Agentic | GPT-5.6 Sol92.0 | Margin← 8.7 | Grok 4.583.3 |
| Coding | GPT-5.6 Sol64.6 | Margin→ 0.1 | Grok 4.564.7 |
| Knowledge | GPT-5.6 Sol94.6 | MarginNo overlap | Grok 4.5Not measured |
| Math | GPT-5.6 Sol87.5 | MarginNo overlap | Grok 4.5Not measured |
| Multimodal | GPT-5.6 Sol83.0 | MarginNo overlap | Grok 4.5Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 91.9%B 83.3%Winner: GPT-5.6 SolΔ 8.6Terminal-Bench 2.0: GPT-5.6 Sol scored 91.9%; Grok 4.5 scored 83.3%. GPT-5.6 Sol wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 64.6%B 64.7%Winner: Grok 4.5Δ 0.1SWE-bench Pro: GPT-5.6 Sol scored 64.6%; Grok 4.5 scored 64.7%. Grok 4.5 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 | Grok 4.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | Grok 4.5$2 input / $6 output | Grok 4.5 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.6 SolNot available | Grok 4.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | Grok 4.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | Grok 4.5500K | GPT-5.6 Sol lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins19 benchmarks
| Benchmark | GPT-5.6 Sol | Grok 4.5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 91.9% | 83.3% | GPT-5.6 Sol leads |
| 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% | 45.7% | GPT-5.6 Sol leads |
| τ²-bench resultsSource | 85.1% | — | Not comparable |
| GDPval-AASource | 61.8% | 51.7% | GPT-5.6 Sol leads |
| GDPval-AASource | 1736 | 1535 | GPT-5.6 Sol leads |
| AA BriefcaseSource | 1501 | 1323 | GPT-5.6 Sol leads |
| AA ITBenchSource | 56.2% | — | Not comparable |
| AA Tau3 BankingSource | 33.0% | 32.6% | GPT-5.6 Sol leads |
| AA AutomationBenchSource | 51.2% | 51.4% | Grok 4.5 leads |
| AA Harvey LABSource | 87.2% | 92.4% | Grok 4.5 leads |
| terminalBenchHardSource | 65.9% | — | Not comparable |
| aaTerminalBench21Source | 88% | 81.6% | GPT-5.6 Sol leads |
| deepSweSource | — | 53% | Not comparable |
| AA EnterpriseOps-GymSource | — | 40.8% | Not comparable |
CodingGrok 4.5 wins9 benchmarks
| Benchmark | GPT-5.6 Sol | Grok 4.5 | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.6% | 64.7% | Grok 4.5 leads |
| Terminal-Bench 2.0Source | 91.9% | 83.3% | GPT-5.6 Sol leads |
| deepSweSource | 72.7% | — | Not comparable |
| FrontierCode 1.1 ExtendedSource | 60.6% | — | Not comparable |
| cursorBench32Source | 67.2% | 66.7% | GPT-5.6 Sol leads |
| VulcanBench v3Source | 87.0% | 91.3% | Grok 4.5 leads |
| AA Coding IndexSource | 77.4% | 72.5% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 56.1% | 54.1% | GPT-5.6 Sol leads |
| SWE MultilingualSource | — | 78% | Not comparable |
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.6 Sol | Grok 4.5 | Result |
|---|---|---|---|
| GPQASource | 94.6% | — | Not comparable |
| GPQA-DSource | 94.6% | — | Not comparable |
| HealthBench ProfessionalSource | 60.5% | — | Not comparable |
| HealthBench HardSource | 33.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 58.9% | 53.8% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 94.1% | 93.1% | GPT-5.6 Sol leads |
| AA-HLESource | 47.2% | 40.3% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 21.7% | 26.4% | Grok 4.5 leads |
| AA-Omniscience AccuracySource | 58.5% | 52.1% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 88.8% | 53.5% | Grok 4.5 leads |
Math3 benchmarks
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.6 Sol | Grok 4.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.7% | — | Not comparable |
Frequently Asked Questions (3)
Which is better, GPT-5.6 Sol or Grok 4.5?
GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 76.72. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 91.9% and 83.3%.
Which is better for coding, GPT-5.6 Sol or Grok 4.5?
Grok 4.5 has the edge for coding in this comparison, averaging 64.7 versus 64.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.6 Sol or Grok 4.5?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 83.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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