Model comparison
GPT-5.4 vs GPT-5.6 Terra
Head-to-head evidence from 31 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 #8 (Supported); GPT-5.6 Terra #11 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 and GPT-5.6 Terra share 31 comparable benchmark results. 5 of 8 categories are comparable. 21 results are unique to GPT-5.4; 13 to GPT-5.6 Terra.
Updated July 23, 2026- Shared results
- 31
- GPT-5.4 only
- 21
- GPT-5.6 Terra only
- 13
- Comparable categories
- 5 / 8
Pick GPT-5.4 if you want the stronger benchmark profile. GPT-5.6 Terra only becomes the better choice if mathematics is the priority.
Confidence note. This is a partial-evidence comparison with 31 shared benchmark results across 7 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-5.4 has the cleaner BenchAlign overall profile here, landing at 74.24 versus 72.57. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for GPT-5.6 Terra.
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-5.4 | Δ | GPT-5.6 Terra |
|---|---|---|---|
| Math | GPT-5.442.5 | Margin→ 38.3 | GPT-5.6 Terra80.8 |
| Knowledge | GPT-5.457.6 | Margin→ 35.3 | GPT-5.6 Terra92.9 |
| Agentic | GPT-5.477.2 | Margin→ 10.2 | GPT-5.6 Terra87.4 |
| Multimodal | GPT-5.473.2 | Margin→ 7.5 | GPT-5.6 Terra80.7 |
| Coding | GPT-5.457.7 | Margin→ 5.7 | GPT-5.6 Terra63.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tier 4)
MathA 27.100%B 68.300%Winner: GPT-5.6 TerraΔ 41.2FrontierMath v2 (Tier 4): GPT-5.4 scored 27.100%; GPT-5.6 Terra scored 68.300%. GPT-5.6 Terra wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 47.600%B 84.900%Winner: GPT-5.6 TerraΔ 37.3FrontierMath v2 (Tiers 1-3): GPT-5.4 scored 47.600%; GPT-5.6 Terra scored 84.900%. GPT-5.6 Terra wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 75.1%B 87.4%Winner: GPT-5.6 TerraΔ 12.3Terminal-Bench 2.0: GPT-5.4 scored 75.1%; GPT-5.6 Terra scored 87.4%. GPT-5.6 Terra wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 57.7%B 63.4%Winner: GPT-5.6 TerraΔ 5.7SWE-bench Pro: GPT-5.4 scored 57.7%; GPT-5.6 Terra scored 63.4%. GPT-5.6 Terra wins this benchmark. - Source ↗
BrowseComp
AgenticA 82.7%B 87.5%Winner: GPT-5.6 TerraΔ 4.8BrowseComp: GPT-5.4 scored 82.7%; GPT-5.6 Terra scored 87.5%. GPT-5.6 Terra wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 | GPT-5.6 Terra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4$2.5 input / $15 output | GPT-5.6 Terra$2.5 input / $15 output | Listed prices are equal. |
| Generation speedtokens per second | GPT-5.474 tok/s | GPT-5.6 TerraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4151.79 s | GPT-5.6 TerraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.41.05M | GPT-5.6 Terra1M | GPT-5.4 lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.6 Terra wins24 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Terra | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 75.1% | 87.4% | GPT-5.6 Terra leads |
| CyberGymSource | 79.0% | 81.8% | GPT-5.6 Terra leads |
| BrowseCompSource | 82.7% | 87.5% | GPT-5.6 Terra leads |
| OSWorld-VerifiedSource | 75% | — | Not comparable |
| MCP AtlasSource | 70.6% | — | Not comparable |
| ToolathlonSource | 54.6% | 53.1% | GPT-5.4 leads |
| τ²-bench resultsSource | 87.1% | 86.3% | GPT-5.4 leads |
| Claw-EvalSource | 60.3% | — | Not comparable |
| DeepSearchQASource | 73.6% | — | Not comparable |
| AA Agentic IndexSource | 41.1% | 47.4% | GPT-5.6 Terra leads |
| APEX-Agents-AASource | 33.3% | 38.9% | GPT-5.6 Terra leads |
| GDPval-AASource | 44.7% | 54.1% | GPT-5.6 Terra leads |
| GDPval-AASource | 1395 | 1581 | GPT-5.6 Terra leads |
| Gert LabsSource | 64.89% | — | Not comparable |
| ResearchClawBenchSource | 15.3% | — | Not comparable |
| JobBenchSource | 38.9% | — | Not comparable |
| ExploitGymSource | 6.0% | 23.2% | GPT-5.6 Terra leads |
| OSWorld 2.0Source | — | 50.2% | Not comparable |
| AA Harvey LABSource | — | 85.2% | Not comparable |
| AA ITBenchSource | — | 51.0% | Not comparable |
| AA Tau3 BankingSource | — | 31.8% | Not comparable |
| AA AutomationBenchSource | — | 45.6% | Not comparable |
| terminalBenchHardSource | — | 57.6% | Not comparable |
| aaTerminalBench21Source | — | 88% | Not comparable |
CodingGPT-5.6 Terra wins10 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Terra | Result |
|---|---|---|---|
| LiveCodeBench ProSource | 87.5% | — | Not comparable |
| SWE-bench ProSource | 57.7% | 63.4% | GPT-5.6 Terra leads |
| React Native EvalsSource | 85.3% | — | Not comparable |
| Vibe Code BenchSource | 67.42% | — | Not comparable |
| AA Coding IndexSource | 71.0% | 76.7% | GPT-5.6 Terra leads |
| AA-SciCodeSource | 56.6% | 53.9% | GPT-5.4 leads |
| Terminal-Bench 2.0Source | — | 87.4% | Not comparable |
| deepSweSource | — | 69.6% | Not comparable |
| FrontierCode 1.1 ExtendedSource | — | 55.8% | Not comparable |
| cursorBench32Source | — | 64.9% | Not comparable |
Reasoning3 benchmarks
KnowledgeGPT-5.6 Terra wins13 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Terra | Result |
|---|---|---|---|
| GPQASource | 92.8% | 92.9% | GPT-5.6 Terra leads |
| HLESource | 52.1% | — | Not comparable |
| HLE w/o toolsSource | 39.8% | — | Not comparable |
| GPQA-DSource | 92.8% | 92.9% | GPT-5.6 Terra leads |
| HealthBench HardSource | 40.1% | 32.7% | GPT-5.4 leads |
| MedXpertQA (Text)Source | 59.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 51.4% | 55.0% | GPT-5.6 Terra leads |
| AA-GPQA DiamondSource | 92.0% | 92.5% | GPT-5.6 Terra leads |
| AA-HLESource | 41.6% | 41.8% | GPT-5.6 Terra leads |
| AA-Omniscience IndexSource | 5.7% | -0.2% | GPT-5.4 leads |
| AA-Omniscience AccuracySource | 50.0% | 45.9% | GPT-5.4 leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 85.2% | GPT-5.6 Terra leads |
| HealthBench ProfessionalSource | 48.1% | 57.7% | GPT-5.6 Terra leads |
MathGPT-5.6 Terra wins3 benchmarks
MultimodalGPT-5.6 Terra wins11 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Terra | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | 80.7% | GPT-5.4 leads |
| OfficeQA ProSource | 53.2% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 82.1% | 82% | GPT-5.4 leads |
| CharXivSource | 82.8% | — | Not comparable |
| ERQASource | 65.4% | — | Not comparable |
| SimpleVQASource | 61.1% | — | Not comparable |
| ScreenSpot ProSource | 85.4% | — | Not comparable |
| ZeroBenchSource | 41.0% | — | Not comparable |
| MedXpertQA (MM)Source | 77.1% | — | Not comparable |
| AA-MMMU-ProSource | 78.4% | 80.7% | GPT-5.6 Terra leads |
| Design Arena WebsiteSource | 1250 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Terra | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | 71.2% | GPT-5.4 leads |
Frequently Asked Questions (6)
Which is better, GPT-5.4 or GPT-5.6 Terra?
GPT-5.4 is ahead on BenchLM's BenchAlign leaderboard, 74.24 to 72.57. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 27.100% and 68.300%.
Which is better for knowledge tasks, GPT-5.4 or GPT-5.6 Terra?
GPT-5.6 Terra has the edge for knowledge tasks in this comparison, averaging 92.9 versus 57.6. Inside this category, HealthBench Professional is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.4 or GPT-5.6 Terra?
GPT-5.6 Terra has the edge for coding in this comparison, averaging 63.4 versus 57.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.4 or GPT-5.6 Terra?
GPT-5.6 Terra has the edge for math in this comparison, averaging 80.8 versus 42.5. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.4 or GPT-5.6 Terra?
GPT-5.6 Terra has the edge for agentic tasks in this comparison, averaging 87.4 versus 77.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.4 or GPT-5.6 Terra?
GPT-5.6 Terra has the edge for multimodal and grounded tasks in this comparison, averaging 80.7 versus 73.2. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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