Model comparison
Llama 4 Behemoth vs Phi-4
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: Llama 4 Behemoth #185 (Estimated); Phi-4 #202 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Behemoth and Phi-4 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Llama 4 Behemoth; 11 to Phi-4.
Updated July 28, 2026- Shared results
- 0
- Llama 4 Behemoth only
- 0
- Phi-4 only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Llama 4 Behemoth and Phi-4 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 does not have sourced benchmark coverage for Llama 4 Behemoth yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Llama 4 Behemoth has the larger context window at 32K, compared with 16K for Phi-4.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Llama 4 Behemoth | Phi-4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Behemoth$0 input / $0 output | Phi-4$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Llama 4 BehemothNot available | Phi-435 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Llama 4 BehemothNot available | Phi-42.02 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Llama 4 Behemoth32K | Phi-416K | Llama 4 Behemoth lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Llama 4 Behemoth | Phi-4 | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 0% | Not comparable |
Coding1 benchmarks
| Benchmark | Llama 4 Behemoth | Phi-4 | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 26.0% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Llama 4 Behemoth | Phi-4 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 4.9% | Not comparable |
| AA-GPQA DiamondSource | — | 57.5% | Not comparable |
| AA-HLESource | — | 4.1% | Not comparable |
| AA-Omniscience IndexSource | — | -56.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 13.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 80.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Llama 4 Behemoth | Phi-4 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 23.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare Llama 4 Behemoth and Phi-4 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 Llama 4 Behemoth and Phi-4 today?
Llama 4 Behemoth: $0.00 input / $0.00 output per 1M tokens Phi-4: $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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