Together AI deepseek-v3.1 vs Google gemini-2.5-pro — list pricing, worked examples, interactive calculator. Verified 2026-05-15.
| deepseek-v3.1 | gemini-2.5-pro | |
|---|---|---|
| Input / 1M tokens | $0.60 | $1.25 |
| Output / 1M tokens | $1.70 | $10.00 |
| Cache write / 1M tokens | — | — |
| Cache read / 1M tokens | — | — |
Sources: Together AI, Google. Verified 2026-05-15. Re-verify before relying on these numbers for budget commits.
| Workload shape | deepseek-v3.1 | gemini-2.5-pro | Cheaper |
|---|---|---|---|
| 1k in + 500 out (tool call) | $0.0014 | $0.0063 | deepseek-v3.1 (4.3× cheaper) |
| 10k in + 1k out (RAG) | $0.0077 | $0.0225 | deepseek-v3.1 (2.9× cheaper) |
| 100k in + 1k out (long doc) | $0.0617 | $0.135 | deepseek-v3.1 (2.2× cheaper) |
| 2k in + 4k out (long gen) | $0.0080 | $0.0425 | deepseek-v3.1 (5.3× cheaper) |
$0.60 in / $1.70 out. gemini-2.5-pro costs $1.25 in / $10.00 out. Workloads that are completion-heavy weigh output prices more.Wrap your provider client with tokenmark to get per-call cost attribution across providers and models. No platform, no signup — JSONL log on disk you can query via CLI or MCP.
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