DeepSeek R1 vs Gemini 2.5 Flash
DeepSeek R1 vs Gemini 2.5 Flash: Gemini 2.5 Flash is cheaper by 78% on average. DeepSeek R1 from Azure AI Foundry (128,000-token context, reasoning) vs. Gemini 2.5 Flash from Google Vertex AI (1,048,576-token context, reasoning, tool calls). Use Agent Command Center to A/B both in shadow mode and pick the winner per workload.
Side-by-side cost
Live workload comparison
Same workload run through both models. The cheaper one is highlighted.
3,000
01,048,576
400
065,535
5,000
01,000,000
At this workload, Gemini 2.5 Flash is 69% cheaper than DeepSeek R1 — a savings of $656/month ($7,871/year).
Production recipe — Agent Command Center
strategy: cost-optimized
primary:
model: gemini-2-5-flash
provider: vertex-ai
fallback:
model: deepseek-r1
provider: azure-ai-foundry
shadow: { sample_rate: 0.05 } # mirror 5% of traffic to compare quality live| DeepSeek R1 | Gemini 2.5 Flash | |
|---|---|---|
| Input price | $1.35/M | $0.300/M |
| Output price | $5.40/M | $2.50/M |
| Context window | 128,000 | 1,048,576 |
| Max output | 8,192 | 65,535 |
| Function calling | — | ✓ |
| Vision | — | ✓ |
| Audio input | — | — |
| Reasoning | ✓ | ✓ |
| Prompt caching | — | ✓ |
| Structured output | — | ✓ |
| Pricing verified | May 12, 2026 | May 12, 2026 |
Benchmark comparison
Side-by-side public benchmark scores. Greener bar = winner.
Chatbot Arena ELOgeneral
DeepSeek R1
1,361
Gemini 2.5 Flash
1,335
HumanEvalcode
DeepSeek R1
89.7%
Gemini 2.5 Flash
87.0%
MMLU-Proreasoning⚠ different settings
DeepSeek R1
84.0%
Gemini 2.5 Flash
75.0%
AIME 2024math
DeepSeek R1
79.8%
Gemini 2.5 Flash
60.0%
GPQA Diamondreasoning⚠ different settings
DeepSeek R1
71.5%
Gemini 2.5 Flash
68.4%