Llama 3.1 8B Instruct vs Llama 3.3 70B Instruct
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Oct 19, 2026 | $0.10Openrouter ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | $0.080Openrouter ↗ · 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-3.1-8B-Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader | 25.8381% of row best · percent · Llama-3.1-8B-Instruct (Prompt) | 31.90100% of row best · percent · Llama-3.3-70B-Instruct (FC) |
| LMArena Text Arenatext-2026-10-15-0ebb411abf00 · arena_rating · leader | 1,186.5493% of row best · rating · llama-3.1-8b-instruct; 95% CI [1182.43982822, 1190.63886318]; votes 49605; rank 327 | 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 wins | 2 benchmark winsOverall lead |
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-3.1-8B-Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| Developer | Meta | Meta |
| Family | Llama 3 1 8b Instruct | Llama 3 3 70b Instruct |
| Model | Llama-3.1-8B-Instruct | Llama-3.3-70B-Instruct |
| Version | Llama-3.1-8B-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 | 8B | 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 | Hugging Face (Standard), Openrouter (Standard) | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
Llama 3.1 8B Instruct Capabilities
Llama 3.3 70B Instruct Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs | family variantstext | ||
 Bolmo 7BAi2 | vs | cross-developer peerstext | |
| vs | cross-developer peerstext | ||
| vs | cross-developer peerstext | ||
| vs | cross-developer peerstext | ||
| vs | cross-developer peerstext | ||
| vs | cross-developer peerstext | ||
| vs | cross-developer peerstext | ||
| vs | family variantstext | ||
 Llama-3.1-8BMeta | vs | family variantstext | |
| vs |  Ministral-8B-Instruct-2410Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 8B Instruct vs Llama 3.3 70B Instruct FAQs
Is Llama 3.1 8B 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 8B 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 8B Instruct or Llama 3.3 70B Instruct?+
Llama 3.1 8B Instruct is $0.050 and Llama 3.3 70B Instruct is $0.10 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Llama 3.1 8B Instruct is $0.080 and Llama 3.3 70B Instruct is $0.32 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric.
Which has a larger context window, Llama 3.1 8B 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 8B Instruct or Llama 3.3 70B Instruct?+
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 3.1 8B Instruct or Llama 3.3 70B Instruct be self-hosted?+
Both models have the same sourced self-hosting status: supported. Llama 3.1 8B Instruct is open weight; Llama 3.3 70B Instruct is open weight.
Can Llama 3.1 8B Instruct and Llama 3.3 70B Instruct understand images?+
Llama 3.1 8B 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 8B 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 8B Instruct and Llama 3.3 70B Instruct support reasoning and tool use?+
Llama 3.1 8B 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 8B Instruct or Llama 3.3 70B Instruct?+
Llama 3.1 8B Instruct has 2 sourced provider routes; Llama 3.3 70B Instruct has 3, so Llama 3.3 70B Instruct has broader tracked availability.
Which offers better value, Llama 3.1 8B 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.