Model comparison
Gemini 1.5 Pro vs Grok 4.20
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 1.5 Pro #185 (Supported); Grok 4.20 #88 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 1.5 Pro and Grok 4.20 share 0 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Gemini 1.5 Pro; 18 to Grok 4.20.
Updated July 23, 2026- Shared results
- 0
- Gemini 1.5 Pro only
- 6
- Grok 4.20 only
- 18
- Comparable categories
- 0 / 8
Benchmark data for Gemini 1.5 Pro and Grok 4.20 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 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 $1.25 input / $5.00 output per 1M tokens for Gemini 1.5 Pro.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 1.5 Pro | Grok 4.20 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 1.5 Pro$1.25 input / $5 output | Grok 4.20$2 input / $6 output | Gemini 1.5 Pro has the lower combined listed price. |
| Generation speedtokens per second | Gemini 1.5 ProNot available | Grok 4.20233 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 1.5 ProNot available | Grok 4.2010.33 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 1.5 Pro2M | Grok 4.202M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding6 benchmarks
Reasoning1 benchmarks
| Benchmark | Gemini 1.5 Pro | Grok 4.20 | Result |
|---|---|---|---|
| ARC-AGI-2Source | — | 53.3% | Not comparable |
Knowledge7 benchmarks
| Benchmark | Gemini 1.5 Pro | Grok 4.20 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 10.0% | — | Not comparable |
| AA-GPQA DiamondSource | 58.9% | — | Not comparable |
| AA-HLESource | 4.9% | — | 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 |
Multimodal7 benchmarks
| Benchmark | Gemini 1.5 Pro | Grok 4.20 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 55.0% | — | Not comparable |
| 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 |
| Design Arena WebsiteSource | — | 1257 | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 1.5 Pro 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 Gemini 1.5 Pro and Grok 4.20 today?
Gemini 1.5 Pro: $1.25 input / $5.00 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.
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