Llama 3.3 70B Instruct vs gpt-oss-120b
At a Glance
| Compare |  gpt-oss-120bOpenAI | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | UnrankedNot in the 57-model eligible cohort | #43 of 570.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 0.0–66.7 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Openrouter ↗ · Oct 19, 2026 | $0.0296Openrouter ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | $0.32Openrouter ↗ · Oct 19, 2026 | $0.136Openrouter ↗ · 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-3.3-70B-Instruct | gpt-oss-120b |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader | 1,274.2193% of row best · rating · llama-3.3-70b-instruct; 95% CI [1270.72459081, 1277.68627453]; votes 54497; rank 276 | 1,365.51100% of row best · rating · gpt-oss-120b; 95% CI [1361.16495776, 1369.85717870]; votes 30206; rank 192 |
| 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-3.3-70B-Instruct | gpt-oss-120b |
|---|---|---|
| Developer | Meta | OpenAI |
| Family | Llama 3 3 70b Instruct | Gpt Oss 120b |
| Model | Llama-3.3-70B-Instruct | gpt-oss-120b |
| Version | Llama-3.3-70B-Instruct | gpt-oss-120b |
| Lifecycle | active | active |
| Released | 2024-12-06 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 131K |
| Total parameters | 70.6B | 116.8B |
| Active parameters | Unknown | 5.1B |
| License | llama3.3 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Cerebras (Standard), Deepinfra (Standard), Fireworks Ai (Serverless, Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Llama 3.3 70B Instruct Capabilities
gpt-oss-120b Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 3.3 70B Instruct vs gpt-oss-120b FAQs
Is Llama 3.3 70B Instruct or gpt-oss-120b better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.3 70B Instruct and gpt-oss-120b, 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 gpt-oss-120b?+
Llama 3.3 70B Instruct is $0.10 and gpt-oss-120b is $0.0296 per million tokens, so gpt-oss-120b is cheaper on this metric. Llama 3.3 70B Instruct is $0.32 and gpt-oss-120b is $0.136 per million tokens, so gpt-oss-120b is cheaper on this metric.
Which has a larger context window, Llama 3.3 70B Instruct or gpt-oss-120b?+
Both models have the same sourced context window: 131,072 tokens each.
Which performs better in benchmarks, Llama 3.3 70B Instruct or gpt-oss-120b?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 3.3 70B Instruct or gpt-oss-120b be self-hosted?+
Both models have the same sourced self-hosting status: supported. Llama 3.3 70B Instruct is open weight; gpt-oss-120b is open weight.
Can Llama 3.3 70B Instruct and gpt-oss-120b understand images?+
Llama 3.3 70B Instruct is not documented with image input; gpt-oss-120b 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 gpt-oss-120b?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Llama 3.3 70B Instruct and gpt-oss-120b support reasoning and tool use?+
Llama 3.3 70B Instruct: tool calling. gpt-oss-120b: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.3 70B Instruct or gpt-oss-120b?+
Llama 3.3 70B Instruct has 3 sourced provider routes; gpt-oss-120b has 7, so gpt-oss-120b has broader tracked availability.
Which offers better value, Llama 3.3 70B Instruct or gpt-oss-120b?+
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.