Model comparison
Exaone 4.0 1.2B vs GPT-5.5 Pro
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Exaone 4.0 1.2B #179 (Estimated); GPT-5.5 Pro #38 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Exaone 4.0 1.2B and GPT-5.5 Pro share 1 comparable benchmark result. 0 of 8 categories are comparable. 10 results are unique to Exaone 4.0 1.2B; 6 to GPT-5.5 Pro.
Updated July 22, 2026- Shared results
- 1
- Exaone 4.0 1.2B only
- 10
- GPT-5.5 Pro only
- 6
- Comparable categories
- 0 / 8
Benchmark data for Exaone 4.0 1.2B and GPT-5.5 Pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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-5.5 Pro has the larger context window at 1M, compared with 128K for Exaone 4.0 1.2B.
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 | Exaone 4.0 1.2B | Δ | GPT-5.5 Pro |
|---|---|---|---|
| Agentic | Exaone 4.0 1.2BNot measured | MarginNo overlap | GPT-5.5 Pro90.1 |
| Knowledge | Exaone 4.0 1.2BNot measured | MarginNo overlap | GPT-5.5 Pro57.2 |
| Math | Exaone 4.0 1.2BNot measured | MarginNo overlap | GPT-5.5 Pro48.1 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Exaone 4.0 1.2B | GPT-5.5 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Exaone 4.0 1.2BNot available | GPT-5.5 Pro$30 input / $180 output | A complete price comparison is not available. |
| Generation speedtokens per second | Exaone 4.0 1.2BNot available | GPT-5.5 ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Exaone 4.0 1.2BNot available | GPT-5.5 ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Exaone 4.0 1.2B128K | GPT-5.5 Pro1M | GPT-5.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding1 benchmarks
| Benchmark | Exaone 4.0 1.2B | GPT-5.5 Pro | Result |
|---|---|---|---|
| AA-SciCodeSource | 7.4% | — | Not comparable |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Exaone 4.0 1.2B | GPT-5.5 Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 2.8% | — | Not comparable |
| AA-GPQA DiamondSource | 42.4% | — | Not comparable |
| AA-HLESource | 5.8% | — | Not comparable |
| AA-Omniscience IndexSource | -82.6% | — | Not comparable |
| AA-Omniscience AccuracySource | 4.7% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 91.5% | — | Not comparable |
| HLESource | — | 57.2% | Not comparable |
| HLE w/o toolsSource | — | 43.1% | Not comparable |
Math3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Exaone 4.0 1.2B | GPT-5.5 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 25.3% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Exaone 4.0 1.2B and GPT-5.5 Pro 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 Exaone 4.0 1.2B and GPT-5.5 Pro today?
GPT-5.5 Pro: $30.00 input / $180.00 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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