DeepSeek V4 Pro DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.001740
Output: $0.001740
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 2,000 output tokens:
- Input Cost: $0.021750 (rounded ~ $0.02)
- Output Cost: $0.001740
- Total Cost: $0.020293
- Cost per 1K tokens: $0.000390
- Tokens per dollar: 2,562,492 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 300 tokens per second and 180ms time to first token:
- Processing Time: 3 minutes, 5.65 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 280 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to DeepSeek V4 Pro| Rank | AI Model & Provider | Total Cost | vs DeepSeek V4 Pro |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001231 Best Value | ↓ 93.9% cheaper |
| 🥈 |
Devstral Small 2
Mistral AI
|
$0.001231 | ↓ 93.9% cheaper |
| 🥉 |
Ministral 3 (14B)
Mistral AI
|
$0.002263 | ↓ 88.9% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.003453 | ↓ 83% cheaper |
| #5 |
Nemotron 3 Super
NVIDIA
|
$0.003654 | ↓ 82% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.004494 | ↓ 77.9% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.004494 | ↓ 77.9% cheaper |
| #8 |
Devstral 2
Mistral AI
|
$0.004775 | ↓ 76.5% cheaper |
| #9 |
Mistral Large 3
Mistral AI
|
$0.006156 (rounded ~ $0.01) | ↓ 69.7% cheaper |
| #10 |
Gemini 3.8 Flash
Google
|
$0.009984 | ↓ 50.8% cheaper |
| #11 |
GPT-5.4 mini
OpenAI
|
$0.010359 | ↓ 49% cheaper |
| #12 |
o4-mini Deep Research
OpenAI
|
$0.012813 (rounded ~ $0.01) | ↓ 36.9% cheaper |
| #13 |
Claude Haiku 4.5
Anthropic
|
$0.013313 (rounded ~ $0.01) | ↓ 34.4% cheaper |
| #14 |
Gemini 3.1 Flash
Google
|
$0.013813 (rounded ~ $0.01) | ↓ 31.9% cheaper |
| #15 |
GPT-5.6 Luna
OpenAI
|
$0.013813 (rounded ~ $0.01) | ↓ 31.9% cheaper |
| #16 |
o4-mini
OpenAI
|
$0.014094 (rounded ~ $0.01) | ↓ 30.5% cheaper |
| #17 |
Gemini 3.6 Flash
Google
|
$0.019969 | ↓ 1.6% cheaper |
| #18 |
Gemini 3.5 Flash
Google
|
$0.020719 | ↑ 2.1% more |
| #19 |
Magistral Medium
Mistral AI
|
$0.024125 (rounded ~ $0.02) | ↑ 18.9% more |
| #20 |
GPT-5.3 Codex Spark
OpenAI
|
$0.025922 (rounded ~ $0.03) | ↑ 27.7% more |
| #21 |
GPT-5.3 Instant
OpenAI
|
$0.025922 (rounded ~ $0.03) | ↑ 27.7% more |
| #22 |
Claude Sonnet 5
Anthropic
|
$0.026625 (rounded ~ $0.03) | ↑ 31.2% more |
| #23 |
GPT-5.6 Terra
OpenAI
|
$0.034531 (rounded ~ $0.03) | ↑ 70.2% more |
| #24 |
Gemini 2.5 Pro
Google
|
$0.037031 (rounded ~ $0.04) | ↑ 82.5% more |
| #25 |
Claude Sonnet 4.6
Anthropic
|
$0.039938 | ↑ 96.8% more |
| #26 |
Grok 4.3
xAI
|
$0.047250 (rounded ~ $0.05) | ↑ 132.8% more |
| #27 |
Grok 4.20 Beta
xAI
|
$0.047250 (rounded ~ $0.05) | ↑ 132.8% more |
| #28 |
Gemini 3.1 Pro
Google
|
$0.055250 (rounded ~ $0.06) | ↑ 172.3% more |
| #29 |
Claude Opus 4.7
Anthropic
|
$0.066563 (rounded ~ $0.07) | ↑ 228% more |
| #30 |
Claude Opus 5
Anthropic
|
$0.066563 (rounded ~ $0.07) | ↑ 228% more |
| #31 |
Claude Opus 4.8
Anthropic
|
$0.066563 (rounded ~ $0.07) | ↑ 228% more |
| #32 |
Claude Opus 4.6
Anthropic
|
$0.066563 (rounded ~ $0.07) | ↑ 228% more |
| #33 |
GPT-5.4
OpenAI
|
$0.069063 | ↑ 240.3% more |
| #34 |
GPT-5.4 Thinking
OpenAI
|
$0.069063 | ↑ 240.3% more |
| #35 |
GPT-5.5 Instant
OpenAI
|
$0.069063 | ↑ 240.3% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.069063 | ↑ 240.3% more |
| #37 |
o3 Deep Research
OpenAI
|
$0.128125 (rounded ~ $0.13) | ↑ 531.4% more |
| #38 |
Claude Fable 5.1
Anthropic
|
$0.131719 (rounded ~ $0.13) | ↑ 549.1% more |
| #39 |
Claude Mythos 5.1
Anthropic
|
$0.131719 (rounded ~ $0.13) | ↑ 549.1% more |
| #40 |
Claude Fable 5
Anthropic
|
$0.133125 (rounded ~ $0.13) | ↑ 556% more |
| #41 |
Claude Mythos 5
Anthropic
|
$0.133125 (rounded ~ $0.13) | ↑ 556% more |
| #42 |
GPT-5.5
OpenAI
|
$0.138125 (rounded ~ $0.14) | ↑ 580.7% more |
| #43 |
o3 Pro
OpenAI
|
$0.256250 (rounded ~ $0.26) | ↑ 1162.8% more |
| #44 |
GPT-6 Astra
OpenAI
|
$0.266250 (rounded ~ $0.27) | ↑ 1212% more |
| #45 |
GPT-5.2 Pro
OpenAI
|
$0.311063 (rounded ~ $0.31) | ↑ 1432.9% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.311063 (rounded ~ $0.31) | ↑ 1432.9% more |
Mistral Small 3 Mistral AI
Devstral Small 2 Mistral AI
Ministral 3 (14B) Mistral AI
Gemini 3.1 Flash Lite Google
Nemotron 3 Super NVIDIA
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Devstral 2 Mistral AI
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Magistral Medium Mistral AI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
o3 Deep Research OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Evaluating DeepSeek V4 Pro for Game Catalog Translation
For game studios managing extensive product catalogs and in-game item descriptions across multiple regions, efficient and high-quality translation is critical for global player engagement. DeepSeek V4 Pro emerges as a strong contender for your translation pipeline, particularly when dealing with large volumes of text per product. Its robust text processing capabilities and substantial context window (1,000,000 tokens) make it well-suited for translating detailed product descriptions, lore entries, or even complex dialogue snippets without losing nuance or context.
Leveraging DeepSeek V4 Pro can lead to significant cost optimization for your ongoing translation needs. Its efficiency in handling complex linguistic structures and its competitive pricing model make it an attractive choice for mid-market companies scaling their global reach. This model is particularly effective when integrated into batch processing workflows, streamlining the translation of thousands of items into 12 languages. The ability to process up to 50,000 tokens per call allows for comprehensive translation of even lengthy descriptions in a single pass, reducing API call overhead.
When evaluating AI options for your translation pipeline, consider DeepSeek V4 Pro for its balance of performance, cost-effectiveness, and its capacity to manage extensive textual data, ensuring your game’s product catalog resonates accurately and compellingly with players worldwide.