DeepSeek V4 Pro vs Granite Embedding English r2
At a Glance
| Compare |  DeepSeek V4 ProDeepSeek | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #28 of 4655.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.2 | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #10 of 44$0.054 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #12 of 3858.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 49.2–65.9 | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.66DeepSeek ↗ · Sep 2, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $1.5441Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 8K |
| 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
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | granite-embedding-english-r2 |
|---|---|---|
| Developer | DeepSeek | IBM |
| Family | Deepseek V4 Pro | Granite Embedding English R2 |
| Model | DeepSeek-V4-Pro | granite-embedding-english-r2 |
| Version | DeepSeek-V4-Pro | granite-embedding-english-r2 |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2025-08-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Embedding |
| Context window | 1,049K | 8K |
| Total parameters | 1.6T | 149M |
| Active parameters | 49B | Unknown |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, reasoning | embeddings |
DeepSeek V4 Pro Capabilities
Granite Embedding English r2 Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Granite Embedding English r2 FAQs
Is DeepSeek V4 Pro or Granite Embedding English r2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Granite Embedding English r2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Granite Embedding English r2?+
Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.
Which has a larger context window, DeepSeek V4 Pro or Granite Embedding English r2?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Granite Embedding English r2 supports 8K.
Which performs better in benchmarks, DeepSeek V4 Pro or Granite Embedding English r2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Pro or Granite Embedding English r2 be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; Granite Embedding English r2 is open weight.
Can DeepSeek V4 Pro and Granite Embedding English r2 understand images?+
DeepSeek V4 Pro is not documented with image input; Granite Embedding English r2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Granite Embedding English r2?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Granite Embedding English r2 is —.
Do DeepSeek V4 Pro and Granite Embedding English r2 support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Granite Embedding English r2: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Granite Embedding English r2?+
DeepSeek V4 Pro has 6 sourced provider routes; Granite Embedding English r2 has 0, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Granite Embedding English r2?+
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.