Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, Meta: Llama 3.2 3B Instruct is more budget-friendly at $0.33/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
Open-weight-adjacent DeepSeek flagship. High reasoning density per dollar.
Auto-discovered from OpenRouter (meta-llama/llama-3.2-3b-instruct). Preview until a second source matches.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Single model data
No latency data
$0.33 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | DeepSeek V4 Pro | Meta: Llama 3.2 3B Instruct | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| Coding Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | 70 tok/s | — | — |
| Input price | $1.32/1M | $0.05/1M | Meta: Llama 3.2 3B Instruct (+$1.27/1M) |
| Output price | $3.96/1M | $0.33/1M | Meta: Llama 3.2 3B Instruct (+$3.63/1M) |
| Context window | DeepSeek V4 Pro (+918k) |
Simulate monthly production API costs in USD (US Dollar).
Meta: Llama 3.2 3B Instruct is estimated to save $98.90/month ($1,187/year).
Need SWE-bench on both sides.
Lower output list price ($0.33/1M).
Need TTFT on both sides.
Larger window (1M).
Meta: Llama 3.2 3B Instruct is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | Meta: Llama 3.2 3B Instruct | Lower output list price ($0.33/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | DeepSeek V4 Pro | Larger window (1M). |
| Screenshots / vision | Meta: Llama 3.2 3B Instruct | Meta: Llama 3.2 3B Instruct is the side marked multimodal in the catalog. |
Top DeepSeek vs top Anthropic Elo. Usually V4 Pro vs Opus 5. License and invoice decide as much as Elo.
2026-06 open-weight-adjacent flagship. The usual cheap-vs-Claude question starts here.
Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.
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Verified head-to-head card
