Head to head
DeepSeek API vs Google Gemini API
As a llm API, Google Gemini API rates higher on the APIbenchmarks Index, 87.9 to 72.7, a 15.2-point gap. Here is how they compare on each criterion.
Criterion by criterion
| Criterion | DeepSeek API | Google Gemini API |
|---|---|---|
| Documentation & DX | ||
| Reliability | ||
| Ecosystem & SDKs | ||
| Accessibility | ||
| APIbenchmarks Index | 72.7 | 87.9 |
Specifications
| DeepSeek API | Google Gemini API | |
|---|---|---|
| Best for | Lowest-cost reasoning models | Multimodal, long-context, GCP-backed |
| Free tier | No | Free tier on Flash models: ~1,500 req/day, 250k TPM (Pro models paid-only since Apr 2026) |
| Pricing | Per token | Per token |
| Official SDKs | 5 languages | 6 languages |
Is DeepSeek API better than Google Gemini API?
On the APIbenchmarks Index, Google Gemini API rates higher (87.9 vs 72.7). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.
Verdict in one line
Google Gemini API leads by 15.2 points (87.9 vs 72.7) and wins 4 of 4 criteria.
Winner by criterion
| Criterion | Winner | ||
|---|---|---|---|
| Documentation & DX | 74 | 88 | |
| Reliability | 64 | 89 | |
| Ecosystem & SDKs | 70 | 85 | |
| Accessibility | 85 | 90 |
Choose DeepSeek API if… / choose Google Gemini API if…
- →your use case matches its focus: lowest-cost reasoning models
- →documentation & dx matters most to you (88 vs 74)
- →reliability matters most to you (89 vs 64)
- →ecosystem & sdks matters most to you (85 vs 70)
- →accessibility matters most to you (90 vs 85)
- →you want a free tier to start (Free tier on Flash models: ~1,500 req/day, 250k TPM (Pro models paid-only since Apr 2026))
- →you need broad SDK coverage (6 official SDKs vs 5)
- →your use case matches its focus: multimodal, long-context, gcp-backed
Pricing side by side
- Model
- Per token
- Free tier
- No
- deepseek-v4-flash (input, cache miss)$0.14 / 1M tokens
- deepseek-v4-flash (output)$0.28 / 1M tokens
- deepseek-v4-pro (input, cache miss)$0.435 / 1M tokens
- deepseek-v4-pro (output)$0.87 / 1M tokens
- Model
- Per token
- Free tier
- Free tier on Flash models: ~1,500 req/day, 250k TPM (Pro models paid-only since Apr 2026)
- Free tier (AI Studio)$0
- Gemini 2.5 Flash-Lite$0.10 / $1.50 in/out per 1M
- Gemini 2.5 Flash$0.30 / $2.50 in/out per 1M
- Gemini 2.5 Pro$1.25 / $10.00 in/out per 1M
- Grounding / tools add-on$35 per 1,000 prompts
Vendor-published pricing, verified 2026-06-27 (DeepSeek API) and 2026-06-27 (Google Gemini API).
SDK and language coverage
Both · 0
None
Only DeepSeek API · 5
OpenAI Python SDK (drop-in)OpenAI Node.js / JavaScript SDK (drop-in)Anthropic SDKs via Messages-format compatibilityRaw HTTP / cURL REST APIAny OpenAI-compatible client library
Only Google Gemini API · 6
Python (google-genai)JavaScript/TypeScript (@google/genai)Go (google.golang.org/genai)Java (com.google.genai)REST APIOpenAI-compatibility endpoint
Strengths and weaknesses
- +Extremely low price per token, roughly 90-95% cheaper than comparable OpenAI/Anthropic models
- +Aggressive automatic context caching with cache-hit input as low as $0.0028/1M and explicit hit/miss token accounting
- +OpenAI- and Anthropic-API compatible, migrate with a two-line change using existing SDKs
- –Dynamic, load-based rate limiting with no paid tier to raise limits; 429 errors spike under platform load
- –Reliability/instability issues and partial outages reported by third-party monitors
- –Data is processed on servers in China, triggering regulatory bans (Italy Garante) and enterprise data-governance concerns
- +Up to 1M-token context window, excellent for whole-codebase analysis and long-document RAG
- +Native multimodality (text, image, audio, video, PDF) in a single request
- +Among the lowest frontier prices, Flash-Lite at $0.10/$0.40 and Flash at $0.30/$2.50 per 1M
- –Reliability complaints: elevated 503/overload errors and 'infinite thinking' loops, especially on preview models
- –High time-to-first-token (~21s on 2.5 Pro) for latency-sensitive reasoning use
- –Restrictive quotas/rate limits on free and lower paid tiers cause friction
DeepSeek API vs Google Gemini API: questions
- Which has better documentation, DeepSeek API or Google Gemini API?
- Google Gemini API scores higher on documentation and developer experience: 88 vs 74 out of 100.
- Which is more reliable, DeepSeek API or Google Gemini API?
- Google Gemini API scores higher on reliability: 89 vs 64 out of 100.
- Do DeepSeek API and Google Gemini API have a free tier?
- DeepSeek API: no free tier. Google Gemini API: yes (Free tier on Flash models: ~1,500 req/day, 250k TPM (Pro models paid-only since Apr 2026)).
- How are DeepSeek API and Google Gemini API priced?
- DeepSeek API: Per token. Google Gemini API: Per token.
- Which has more official SDKs?
- Google Gemini API lists 6 official SDKs, DeepSeek API lists 5.