Model comparison
GPT-4.1 nano vs Grok 4.20
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: GPT-4.1 nano #170 (Estimated); Grok 4.20 #93 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4.1 nano and Grok 4.20 share 1 comparable benchmark result. 0 of 8 categories are comparable. 20 results are unique to GPT-4.1 nano; 18 to Grok 4.20.
Updated July 28, 2026- Shared results
- 1
- GPT-4.1 nano only
- 20
- Grok 4.20 only
- 18
- Comparable categories
- 0 / 8
Benchmark data for GPT-4.1 nano and Grok 4.20 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.
Grok 4.20 is priced at $2.00 input / $6.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. Grok 4.20 has the larger context window at 2M, compared with 1M for GPT-4.1 nano.
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-4.1 nano | Δ | Grok 4.20 |
|---|---|---|---|
| Agentic | GPT-4.1 nanoNot measured | MarginNo overlap | Grok 4.2047.1 |
| Coding | GPT-4.1 nanoNot measured | MarginNo overlap | Grok 4.2067.1 |
| Reasoning | GPT-4.1 nanoNot measured | MarginNo overlap | Grok 4.2053.3 |
| Knowledge | GPT-4.1 nano50.3 | MarginNo overlap | Grok 4.20Not measured |
| Math | GPT-4.1 nano1.0 | MarginNo overlap | Grok 4.20Not measured |
| Multimodal | GPT-4.1 nanoNot measured | MarginNo overlap | Grok 4.2070.1 |
| Inst. Following | GPT-4.1 nano83.2 | MarginNo overlap | Grok 4.20Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4.1 nano | Grok 4.20 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1 nano$0.1 input / $0.4 output | Grok 4.20$2 input / $6 output | GPT-4.1 nano has the lower combined listed price. |
| Generation speedtokens per second | GPT-4.1 nano181 tok/s | Grok 4.20233 tok/s | Grok 4.20 has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-4.1 nano0.63 s | Grok 4.2010.33 s | GPT-4.1 nano reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-4.1 nano1M | Grok 4.202M | Grok 4.20 lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | GPT-4.1 nano | Grok 4.20 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 1.2% | — | Not comparable |
| τ²-bench resultsSource | 17.3% | — | Not comparable |
| GDPval-AASource | 0.0% | — | Not comparable |
| GDPval-AASource | 63 | — | Not comparable |
| Terminal-Bench 2.0Source | — | 47.1% | Not comparable |
| DeepSearchQASource | — | 62.8% | Not comparable |
| Gert LabsSource | — | 38.36% | Not comparable |
Coding6 benchmarks
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | GPT-4.1 nano | Grok 4.20 | Result |
|---|---|---|---|
| MMLUSource | 80.1% | — | Not comparable |
| GPQASource | 50.3% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 9.6% | — | Not comparable |
| AA-GPQA DiamondSource | 51.2% | — | Not comparable |
| AA-HLESource | 3.9% | — | Not comparable |
| AA-Omniscience IndexSource | -56.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 13.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.4% | — | Not comparable |
| GPQA-DSource | — | 88.5% | Not comparable |
| HLE w/o toolsSource | — | 31.6% | Not comparable |
| HealthBench HardSource | — | 20.3% | Not comparable |
| MedXpertQA (Text)Source | — | 50.2% | Not comparable |
Math1 benchmarks
| Benchmark | GPT-4.1 nano | Grok 4.20 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 1.034% | — | Not comparable |
Multimodal7 benchmarks
| Benchmark | GPT-4.1 nano | Grok 4.20 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 40.1% | — | Not comparable |
| Design Arena WebsiteSource | 998 | 1252 | Grok 4.20 leads |
| MMMU-ProSource | — | 75.2% | Not comparable |
| CharXivSource | — | 60.9% | Not comparable |
| ERQASource | — | 54.1% | Not comparable |
| SimpleVQASource | — | 57.4% | Not comparable |
| MedXpertQA (MM)Source | — | 65.8% | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-4.1 nano and Grok 4.20 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 GPT-4.1 nano and Grok 4.20 today?
GPT-4.1 nano: $0.10 input / $0.40 output per 1M tokens Grok 4.20: $2.00 input / $6.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Related Comparisons
Explore More
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
One email each week. Unsubscribe anytime.