Llama 3.3 70B Instruct vs phi-4
At a Glance
| Compare |  phi-4Microsoft | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Openrouter ↗ · Sep 23, 2026 | $0.070Deepinfra ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.32Openrouter ↗ · Sep 23, 2026 | $0.14Deepinfra ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 131K | 16K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Llama-3.3-70B-Instruct | phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader | 31.90100% of row best · percent · Llama-3.3-70B-Instruct (FC) | 28.7990% of row best · percent · Phi-4 (Prompt) |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,273.98100% of row best · rating · llama-3.3-70b-instruct; 95% CI [1270.49383309, 1277.45726344]; votes 54412; rank 262 | 1,216.6095% of row best · rating · phi-4; 95% CI [1212.02298793, 1221.18318193]; votes 24126; rank 300 |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Llama-3.3-70B-Instruct | phi-4 |
|---|---|---|
| Developer | Meta | Microsoft |
| Family | Llama 3 3 70b Instruct | Phi 4 |
| Model | Llama-3.3-70B-Instruct | phi-4 |
| Version | Llama-3.3-70B-Instruct | phi-4 |
| Lifecycle | active | active |
| Released | 2024-12-06 | 2024-12-12 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 16K |
| Total parameters | 70.6B | 14.7B |
| Active parameters | Unknown | Unknown |
| License | llama3.3 | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation |
Llama 3.3 70B Instruct Capabilities
phi-4 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 3.3 70B Instruct vs phi-4 FAQs
Is Llama 3.3 70B Instruct or phi-4 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.3 70B Instruct and phi-4, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 3.3 70B Instruct or phi-4?+
Llama 3.3 70B Instruct is $0.10 and phi-4 is $0.070 per million tokens, so phi-4 is cheaper on this metric. Llama 3.3 70B Instruct is $0.32 and phi-4 is $0.14 per million tokens, so phi-4 is cheaper on this metric.
Which has a larger context window, Llama 3.3 70B Instruct or phi-4?+
Llama 3.3 70B Instruct has the larger sourced context window. Llama 3.3 70B Instruct supports 131K and phi-4 supports 16K.
Which performs better in benchmarks, Llama 3.3 70B Instruct or phi-4?+
Llama 3.3 70B Instruct leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Llama 3.3 70B Instruct or phi-4 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.3 70B Instruct is open weight; phi-4 is open weight.
Can Llama 3.3 70B Instruct and phi-4 understand images?+
Llama 3.3 70B Instruct is not documented with image input; phi-4 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.3 70B Instruct or phi-4?+
Neither has a larger sourced maximum output. Llama 3.3 70B Instruct is — and phi-4 is —.
Do Llama 3.3 70B Instruct and phi-4 support reasoning and tool use?+
Llama 3.3 70B Instruct: tool calling. phi-4: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.3 70B Instruct or phi-4?+
Llama 3.3 70B Instruct has 3 sourced provider routes; phi-4 has 3, a tie.
Which offers better value, Llama 3.3 70B Instruct or phi-4?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.