Llama 3.1 70B Instruct vs Llama 3.3 70B Instruct
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.40Openrouter ↗ · Oct 19, 2026 | $0.10Openrouter ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | $0.40Openrouter ↗ · Oct 19, 2026 | $0.32Openrouter ↗ · Oct 19, 2026 |
| Context windowMaximum documented tokens | 131K | 131K |
| 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-3.1-70B-Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-0ebb411abf00 · arena_rating · leader | 1,260.8799% of row best · rating · llama-3.1-70b-instruct; 95% CI [1257.15696595, 1264.58148679]; votes 55240; rank 290 | 1,274.21100% of row best · rating · llama-3.3-70b-instruct; 95% CI [1270.72459081, 1277.68627453]; votes 54497; rank 276 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
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-3.1-70B-Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| Developer | Meta | Meta |
| Family | Llama 3 1 70b Instruct | Llama 3 3 70b Instruct |
| Model | Llama-3.1-70B-Instruct | Llama-3.3-70B-Instruct |
| Version | Llama-3.1-70B-Instruct | Llama-3.3-70B-Instruct |
| Lifecycle | active | active |
| Released | 2024-07-23 | 2024-12-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 131K |
| Total parameters | 70.6B | 70.6B |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | llama3.3 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
Llama 3.1 70B Instruct Capabilities
Llama 3.3 70B Instruct Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs | cross-developer peerstext | ||
| vs | cross-developer peerstext | ||
| vs | cross-developer peerstext | ||
| vs | cross-developer peerstext | ||
| vs | family variantstext | ||
 Llama-3.1-70BMeta | vs | family variantstext | |
| vs | family variantstext | ||
| vs |  Devstral-2-123B-Instruct-2512Mistral AI | cross-developer peerstext | |
| vs |  gpt-oss-120bOpenAI | cross-developer peerstext | |
 Qwen3-Coder-NextQwen | vs | cross-developer peerstext | |
| vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 70B Instruct vs Llama 3.3 70B Instruct FAQs
Is Llama 3.1 70B Instruct or Llama 3.3 70B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 70B Instruct and Llama 3.3 70B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 3.1 70B Instruct or Llama 3.3 70B Instruct?+
Llama 3.1 70B Instruct is $0.40 and Llama 3.3 70B Instruct is $0.10 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric. Llama 3.1 70B Instruct is $0.40 and Llama 3.3 70B Instruct is $0.32 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric.
Which has a larger context window, Llama 3.1 70B Instruct or Llama 3.3 70B Instruct?+
Both models have the same sourced context window: 131,072 tokens each.
Which performs better in benchmarks, Llama 3.1 70B Instruct or Llama 3.3 70B Instruct?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 3.1 70B Instruct or Llama 3.3 70B Instruct be self-hosted?+
Both models have the same sourced self-hosting status: supported. Llama 3.1 70B Instruct is open weight; Llama 3.3 70B Instruct is open weight.
Can Llama 3.1 70B Instruct and Llama 3.3 70B Instruct understand images?+
Llama 3.1 70B Instruct is not documented with image input; Llama 3.3 70B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 70B Instruct or Llama 3.3 70B Instruct?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Llama 3.1 70B Instruct and Llama 3.3 70B Instruct support reasoning and tool use?+
Llama 3.1 70B Instruct: tool calling. Llama 3.3 70B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.1 70B Instruct or Llama 3.3 70B Instruct?+
Llama 3.1 70B Instruct has 1 sourced provider route; Llama 3.3 70B Instruct has 3, so Llama 3.3 70B Instruct has broader tracked availability.
Which offers better value, Llama 3.1 70B Instruct or Llama 3.3 70B Instruct?+
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.