Model comparison
Grok 4.20 vs Llama 3.1 405B
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: Grok 4.20 #93 (Estimated); Llama 3.1 405B #107 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Grok 4.20 and Llama 3.1 405B share 0 comparable benchmark results. 0 of 8 categories are comparable. 19 results are unique to Grok 4.20; 11 to Llama 3.1 405B.
Updated July 28, 2026- Shared results
- 0
- Grok 4.20 only
- 19
- Llama 3.1 405B only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Grok 4.20 and Llama 3.1 405B 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 $0.00 input / $0.00 output per 1M tokens for Llama 3.1 405B. Grok 4.20 has the larger context window at 2M, compared with 128K for Llama 3.1 405B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok 4.20 | Llama 3.1 405B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok 4.20$2 input / $6 output | Llama 3.1 405B$0 input / $0 output | Llama 3.1 405B has the lower combined listed price. |
| Generation speedtokens per second | Grok 4.20233 tok/s | Llama 3.1 405B29 tok/s | Grok 4.20 has the higher measured throughput. |
| First-answer latencyseconds to first token | Grok 4.2010.33 s | Llama 3.1 405B2.19 s | Llama 3.1 405B reaches the first token sooner. |
| Context windowmaximum listed tokens | Grok 4.202M | Llama 3.1 405B128K | Grok 4.20 lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding5 benchmarks
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | Grok 4.20 | Llama 3.1 405B | Result |
|---|---|---|---|
| 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 |
| Artificial Analysis Intelligence IndexSource | — | 8.5% | Not comparable |
| AA-GPQA DiamondSource | — | 51.5% | Not comparable |
| AA-HLESource | — | 4.2% | Not comparable |
| AA-Omniscience IndexSource | — | -17.3% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.3% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 51.0% | Not comparable |
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Grok 4.20 | Llama 3.1 405B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 39.0% | Not comparable |
Frequently Asked Questions (3)
Can I compare Grok 4.20 and Llama 3.1 405B 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 Grok 4.20 and Llama 3.1 405B today?
Grok 4.20: $2.00 input / $6.00 output per 1M tokens Llama 3.1 405B: $0.00 input / $0.00 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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The model to choose, the cheaper alternative, and the release we would wait on.
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