DeepSeek V3 vs Meta Llama 3.1 70B
AI Matrix
Powered by Claude AIDeepSeek V3 edges out the Meta Llama 3.1 70B in the ai language models category, particularly in design, scoring 6.5/10 vs 5.3/10. If you want the better overall performer, DeepSeek V3 is the clear pick.
4 Reasons Why DeepSeek V3 Is Better
- 1.Better performance score: 8.1 vs 6.7
- 2.Higher camera score: 5.6 vs 5.1
- 3.Higher design rating: 6.2 vs 2.0
- 4.Higher overall score: 6.5/10 vs 5.3/10
Spezifikationsvergleich
DeepSeek V3Meta Llama 3.1 70B
Bewertungsaufschlüsselung
DeepSeek V3Meta Llama 3.1 70B
9.9
Cost Efficiency20% weight
10.0Unentschieden
8.1
Benchmark (MMLU)30% weight
6.7DeepSeek V3 Gewinner
6.2
Arena ELO20% weight
2.0DeepSeek V3 Gewinner
1.2
Context Window10% weight
1.2Unentschieden
1.4
Speed (tok/s)10% weight
2.5Meta Llama 3.1 70B Gewinner
5.6
Coding (HumanEval)10% weight
5.1Unentschieden
Scores are relative within the ai language modelscategory. Percentages show each dimension's weight in the overall score. A difference of less than 0.5 points is considered a tie.
DeepSeek V3
Gewinner✓ Pros
- ●Strong performance score
- ●Higher camera score
- ●Better build and design
✗ Cons
- ●Lower display score
Meta Llama 3.1 70B
✓ Pros
- ●Better display quality
✗ Cons
- ●Lower camera score
- ●Lower performance score
💰 Token Pricing (per 1M tokens)
Lower cost = better value. Free = open-source self-hosted.
| Metric | DeepSeek V3 | 3.1 70B |
|---|---|---|
| Input (Prompt) | $0.27/1M | ✓Free/1M |
| Output (Completion) | $1.10/1M | ✓Free/1M |
| Open Source | ✓ Free | ✓ Free |
⚡ Context Window & Speed
Context Window (tokens)
DeepSeek V3128K
3.1 70B128K
| Metric | DeepSeek V3 | 3.1 70B |
|---|---|---|
| Max Output | ✓8,192 tok | 4,096 tok |
| Speed | 60 tok/s | ✓90 tok/s |
| Time to First Token | 800ms | ✓500ms |
| Languages | ✓20+ | 8+ |
📊 Benchmark Scores
Higher is better. Industry-standard AI evaluation benchmarks.
DeepSeek V3
3.1 70B
MMLU (Knowledge)
88.5|83.6
DeepSeek V3
3.1 70B
HumanEval (Coding)
82.6|80.5
DeepSeek V3
3.1 70B
MATH (Mathematics)
75.7|68.0
DeepSeek V3
3.1 70B
GPQA (Expert Q&A)
59.1|46.7
DeepSeek V3
3.1 70B
Chatbot Arena ELO
1318.0|1203.0
DeepSeek V3
3.1 70B
🔧 Capabilities
| Feature | DeepSeek V3 | 3.1 70B |
|---|---|---|
| Reasoning / Chain-of-Thought | ✕ | ✕ |
| Vision (Image Input) | ✕ | ✕ |
| Audio Input | ✕ | ✕ |
| Video Input | ✕ | ✕ |
| Image/Audio Output | ✕ | ✕ |
| Function Calling / Tools | ✓ | ✓ |
| JSON Mode | ✓ | ✓ |
| Real-time Web Access | ✕ | ✕ |
| Fine-tuning Support | ✓ | ✓ |
| Batch API | ✓ | ✓ |
| Streaming | ✓ | ✓ |
| Open Source | ✓ | ✓ |
ℹ️ Model Details
| Field | DeepSeek V3 | 3.1 70B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Parameters | 671B (37B active) | 70B |
| Knowledge Cutoff | 2024-07 | 2023-12 |
| License | MIT | Llama 3.1 Community |
| Best For | cost efficiencycodingopen sourcegeneral | open sourceself hostingfine tuningcost efficiency |
Wer sollte kaufen
Buy DeepSeek V3 if…
Buy the DeepSeek V3 if you want the best performance in this comparison. It scores higher overall and is the recommended choice for most buyers.
Buy Meta Llama 3.1 70B if…
The Meta Llama 3.1 70B is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Community Vote
Who do you think wins this matchup?
DeepSeek V3 vs Meta Llama 3.1 70B — FAQ
DeepSeek V3 vs Meta Llama 3.1 70B: which is better?
DeepSeek V3 edges out the Meta Llama 3.1 70B in the ai language models category, particularly in design, scoring 6.5/10 vs 5.3/10. If you want the better overall performer, DeepSeek V3 is the clear pick.
Is DeepSeek V3 better than Meta Llama 3.1 70B?
Yes, DeepSeek V3 scores higher overall (9.1 vs 8.1).
Which is cheaper, DeepSeek V3 or Meta Llama 3.1 70B?
Check the latest prices using the buy links above.
Who should buy the DeepSeek V3?
Buy the DeepSeek V3 if you want the best performance in this comparison. It scores higher overall and is the recommended choice for most buyers.
Who should buy the Meta Llama 3.1 70B?
The Meta Llama 3.1 70B is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
