DeepSeek-V3 vs Llama-3.3-70B-Instruct
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V3 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,332.28100% of row best · rating · deepseek-v3; 95% CI [1327.55202083, 1337.01331591]; votes 21770; rank 205 | 1,273.9196% of row best · rating · llama-3.3-70b-instruct; 95% CI [1270.42968055, 1277.38585448]; votes 54411; rank 258 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winOverall 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.
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V3 | Llama-3.3-70B-Instruct |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek V3 | Llama 3 3 70b Instruct |
| Model | DeepSeek-V3 | Llama-3.3-70B-Instruct |
| Version | DeepSeek-V3 | Llama-3.3-70B-Instruct |
| Lifecycle | active | active |
| Released | 2024-12-26 | 2024-12-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 163,840 | 131,072 |
| Total parameters | 684,531,386,000 | 70,553,706,496 |
| Active parameters | 37,000,000,000 | Unknown |
| License | Unknown | llama3.3 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Openrouter (Standard) | Openrouter (Standard) |
| Capabilities | chat, generation | chat, generation, tools |
15 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
DeepSeek-V3 Capabilities
Llama-3.3-70B-Instruct Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs | family variantstext | ||
| vs | family variantstext | ||
| vs | family variantstext | ||
DeepSeek-R1DeepSeek | vs | DeepSeek-V3DeepSeek | family variantstext |
DeepSeek-V3DeepSeek | vs | DeepSeek-V3.2DeepSeek | family variantstext |
Llama-3.1-70BMeta | vs | family variantstext | |
DeepSeek-V3DeepSeek | vs | DeepSeek-V4-FlashDeepSeek | family variantstext |
DeepSeek-V3DeepSeek | vs | DeepSeek-V4-Flash-BaseDeepSeek | family variantstext |
| vs |  gpt-oss-120bOpenAI | cross-developer peerstext | |
 Qwen3-Coder-NextQwen | vs | cross-developer peerstext | |
| vs | cross-developer peerstext | ||
| vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek-V3 vs Llama-3.3-70B-Instruct FAQs
Is DeepSeek-V3 or Llama-3.3-70B-Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek-V3 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, DeepSeek-V3 or Llama-3.3-70B-Instruct?+
DeepSeek-V3 is $0.2574 and Llama-3.3-70B-Instruct is $0.71 per million tokens, so DeepSeek-V3 is cheaper on this metric. DeepSeek-V3 is $0.89 and Llama-3.3-70B-Instruct is $0.71 per million tokens, so Llama-3.3-70B-Instruct is cheaper on this metric.
Which has a larger context window, DeepSeek-V3 or Llama-3.3-70B-Instruct?+
DeepSeek-V3 has the larger sourced context window. DeepSeek-V3 supports 163,840 and Llama-3.3-70B-Instruct supports 131,072.
Which performs better in benchmarks, DeepSeek-V3 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 DeepSeek-V3 or Llama-3.3-70B-Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek-V3 is open weight; Llama-3.3-70B-Instruct is open weight.
Can DeepSeek-V3 and Llama-3.3-70B-Instruct understand images?+
DeepSeek-V3 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, DeepSeek-V3 or Llama-3.3-70B-Instruct?+
Neither has a larger sourced maximum output. DeepSeek-V3 is — and Llama-3.3-70B-Instruct is —.
Do DeepSeek-V3 and Llama-3.3-70B-Instruct support reasoning and tool use?+
DeepSeek-V3: none of these features are definitively sourced. Llama-3.3-70B-Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek-V3 or Llama-3.3-70B-Instruct?+
DeepSeek-V3 has 2 sourced provider routes; Llama-3.3-70B-Instruct has 1, so DeepSeek-V3 has broader tracked availability.
Which offers better value, DeepSeek-V3 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.