head-to-head · model vs model
Llama 3.3 70B Instruct vs DeepSeek V4 Pro
Live matchup data for Llama 3.3 70B Instruct and DeepSeek V4 Pro: OpenRouter usage, pricing, benchmark scores, and community sentiment, refreshed daily. No verdicts — read the tape.
share of openrouter tokens
usage compares on other signals below
usage share — openrouter model rankings
Usage crossover
source: OpenRouter model rankings · daily · 90d · no OpenRouter feed: Llama 3.3 70B Instruct
through Jul 7, 2026
side by side
Spec & pricing
| Spec | Llama 3.3 70B Instruct | DeepSeek V4 Pro |
|---|---|---|
| Vendor | Meta | DeepSeek |
| Homepage | openrouter.ai | openrouter.ai |
| Context window | 131.1K tokens | 1M tokens |
| Input price | $0.00/MTok | $0.43/MTok |
| Output price | $0.00/MTok | $0.87/MTok |
| Cache read | — | $0.0036/MTok |
| Price as of | Jul 8, 2026 · openrouter | Jul 8, 2026 · openrouter |
sources: provider pages · OpenRouter · GitHub · package registries
— = not tracked / not applicable
head to head
Benchmarks
| Benchmark | Llama 3.3 70B Instruct | DeepSeek V4 Pro | Source |
|---|---|---|---|
| aa-agentic-index | 0.3 index— · meta-llama/llama-3.3-70b-instruct:free | 36.4 index— · deepseek/deepseek-v4-pro | openrouter.ai |
| aa-coding-index | 11.9 index— · meta-llama/llama-3.3-70b-instruct:free | 59.4 index— · deepseek/deepseek-v4-pro | openrouter.ai |
| aa-intelligence-index | 9.4 index— · meta-llama/llama-3.3-70b-instruct:free | 44.3 index— · deepseek/deepseek-v4-pro | openrouter.ai |
| aider-edit | 59.4%Dec 6 · llama-3.3-70b-instruct | — | github.com |
best tracked score per benchmark · scores are not directly comparable across benchmarks
sources linked per row
community pulse
Reddit sentiment
| Signal | Llama 3.3 70B Instruct | DeepSeek V4 Pro |
|---|---|---|
sentiment feed pending — Reddit pulse lands with the daily crawl | ||
source: Reddit mentions, LLM-classified sentiment · trailing 30d
awaiting first crawl
faq
Frequently asked
- Is Llama 3.3 70B Instruct more used than DeepSeek V4 Pro?
- The Token Tape tracks daily OpenRouter usage for this matchup, but Llama 3.3 70B Instruct has no usage feed yet, so no usage comparison is published. Pricing, benchmarks, and sentiment compare on the available signals.
- How does Llama 3.3 70B Instruct pricing compare to DeepSeek V4 Pro?
- Llama 3.3 70B Instruct runs $0.00 per million input tokens and $0.00 per million output tokens (as of Jul 8, 2026). DeepSeek V4 Pro runs $0.43 per million input tokens and $0.87 per million output tokens (as of Jul 8, 2026). Full plan and per-token detail is in the spec table above, each with its source and capture date.
- How do Llama 3.3 70B Instruct and DeepSeek V4 Pro score on coding benchmarks?
- On aa-agentic-index, Llama 3.3 70B Instruct scores 0.3 index (—) and DeepSeek V4 Pro scores 36.4 index (—). All tracked results and their sources are in the benchmark table above.
- Where does this comparison data come from?
- OpenRouter public rankings (usage), provider pricing pages (plans and per-token prices), GitHub and package registries (adoption), public benchmark leaderboards, and Reddit (sentiment). Every stored datum keeps its source URL, and the tape refreshes daily. The Token Tape publishes the data without declaring a winner.
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