GPT-5.3 Codex Spark OpenAI
💰 Total Cost Calculation (from Plugin)
Output: $0.021000 (rounded ~ $0.02)
Output: $0.021000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,500 output tokens:
- Input Cost: $0.175000 (rounded ~ $0.18)
- Output Cost: $0.021000 (rounded ~ $0.02)
- Total Cost: $0.101500 (rounded ~ $0.10)
- Cost per 1K tokens: $0.001000
- Tokens per dollar: 1,000,000 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 1,000 tokens per second and 100ms time to first token:
- Processing Time: 1 minute, 43.71 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 1,000 tokens/second
- Effective Throughput: 980 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to GPT-5.3 Codex Spark| Rank | AI Model & Provider | Total Cost | vs GPT-5.3 Codex Spark |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.005050 (rounded ~ $0.01) Best Value | ↓ 95% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.011450 (rounded ~ $0.01) | ↓ 88.7% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.013750 (rounded ~ $0.01) | ↓ 86.5% cheaper |
| #4 |
Gemini 3.5 Flash-Lite
Google
|
$0.017550 (rounded ~ $0.02) | ↓ 82.7% cheaper |
| #5 |
Gemini 2.5 Flash
Google
|
$0.017550 (rounded ~ $0.02) | ↓ 82.7% cheaper |
| #6 |
Mistral Large 3
Mistral AI
|
$0.025250 (rounded ~ $0.03) | ↓ 75.1% cheaper |
| #7 |
Gemini 3.1 Flash
Google
|
$0.027500 (rounded ~ $0.03) | ↓ 72.9% cheaper |
| #8 |
Kimi K2.5
Moonshot AI
|
$0.034620 (rounded ~ $0.03) | ↓ 65.9% cheaper |
| #9 |
Gemini 3.8 Flash
Google
|
$0.040125 | ↓ 60.5% cheaper |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.041250 (rounded ~ $0.04) | ↓ 59.4% cheaper |
| #11 |
Grok Build 0.1
xAI
|
$0.049000 | ↓ 51.7% cheaper |
| #12 |
o4-mini Deep Research
OpenAI
|
$0.052000 (rounded ~ $0.05) | ↓ 48.8% cheaper |
| #13 |
Claude Haiku 4.5
Anthropic
|
$0.053500 (rounded ~ $0.05) | ↓ 47.3% cheaper |
| #14 |
Kimi K2.6
Moonshot AI
|
$0.053690 (rounded ~ $0.05) | ↓ 47.1% cheaper |
| #15 |
Kimi K2.7 Code
Moonshot AI
|
$0.053690 (rounded ~ $0.05) | ↓ 47.1% cheaper |
| #16 |
GPT-5.6 Luna
OpenAI
|
$0.055000 (rounded ~ $0.06) | ↓ 45.8% cheaper |
| #17 |
o4-mini
OpenAI
|
$0.057200 (rounded ~ $0.06) | ↓ 43.6% cheaper |
| #18 |
Grok 4.3
xAI
|
$0.061250 (rounded ~ $0.06) | ↓ 39.7% cheaper |
| #19 |
Grok 4.20 Beta
xAI
|
$0.061250 (rounded ~ $0.06) | ↓ 39.7% cheaper |
| #20 |
Gemini 2.5 Pro
Google
|
$0.072500 (rounded ~ $0.07) | ↓ 28.6% cheaper |
| #21 |
Gemini 3.6 Flash
Google
|
$0.080250 | ↓ 20.9% cheaper |
| #22 |
Gemini 3.5 Flash
Google
|
$0.082500 (rounded ~ $0.08) | ↓ 18.7% cheaper |
| #23 |
Grok 4.6
xAI
|
$0.101000 (rounded ~ $0.10) | ↓ 0.5% cheaper |
| #24 |
Grok 4.5
xAI
|
$0.101000 (rounded ~ $0.10) | ↓ 0.5% cheaper |
| #25 |
GPT-5.3 Instant
OpenAI
|
$0.101500 (rounded ~ $0.10) | Same price |
| #26 |
Claude Sonnet 5
Anthropic
|
$0.107000 (rounded ~ $0.11) | ↑ 5.4% more |
| #27 |
Gemini 3.1 Pro
Google
|
$0.110000 | ↑ 8.4% more |
| #28 |
GPT-5.4
OpenAI
|
$0.137500 (rounded ~ $0.14) | ↑ 35.5% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$0.137500 (rounded ~ $0.14) | ↑ 35.5% more |
| #30 |
GPT-5.6 Terra
OpenAI
|
$0.137500 (rounded ~ $0.14) | ↑ 35.5% more |
| #31 |
Claude Sonnet 4.6
Anthropic
|
$0.160500 | ↑ 58.1% more |
| #32 |
Claude Opus 4.7
Anthropic
|
$0.267500 (rounded ~ $0.27) | ↑ 163.5% more |
| #33 |
Claude Opus 5
Anthropic
|
$0.267500 (rounded ~ $0.27) | ↑ 163.5% more |
| #34 |
Claude Opus 4.8
Anthropic
|
$0.267500 (rounded ~ $0.27) | ↑ 163.5% more |
| #35 |
Claude Opus 4.6
Anthropic
|
$0.267500 (rounded ~ $0.27) | ↑ 163.5% more |
| #36 |
GPT-5.5
OpenAI
|
$0.275000 (rounded ~ $0.28) | ↑ 170.9% more |
| #37 |
GPT-5.5 Instant
OpenAI
|
$0.275000 (rounded ~ $0.28) | ↑ 170.9% more |
| #38 |
GPT-5.6 Sol
OpenAI
|
$0.275000 (rounded ~ $0.28) | ↑ 170.9% more |
| #39 |
Claude Fable 5.1
Anthropic
|
$0.490000 | ↑ 382.8% more |
| #40 |
Claude Mythos 5.1
Anthropic
|
$0.490000 | ↑ 382.8% more |
| #41 |
o3 Deep Research
OpenAI
|
$0.520000 | ↑ 412.3% more |
| #42 |
Claude Fable 5
Anthropic
|
$0.535000 (rounded ~ $0.54) | ↑ 427.1% more |
| #43 |
Claude Mythos 5
Anthropic
|
$0.535000 (rounded ~ $0.54) | ↑ 427.1% more |
| #44 |
GPT-6 Astra
OpenAI
|
$0.535000 (rounded ~ $0.54) | ↑ 427.1% more |
| #45 |
o3 Pro
OpenAI
|
$1.040000 | ↑ 924.6% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$1.218000 (rounded ~ $1.22) | ↑ 1100% more |
| #47 |
GPT-5.2 Pro
OpenAI
|
$1.218000 (rounded ~ $1.22) | ↑ 1100% more |
Mistral Small 3 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.1 Flash Google
Kimi K2.5 Moonshot AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
Grok Build 0.1 xAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Kimi K2.6 Moonshot AI
Kimi K2.7 Code Moonshot AI
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Grok 4.6 xAI
Grok 4.5 xAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 OpenAI
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-6 Astra OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
For developers and localization managers aiming to automate pull request reviews, the choice of model directly impacts how effectively the assistant handles specific coding tasks like string extraction, I18n key validation, and file-format compliance. GPT-5.3 Codex Spark is engineered specifically for these types of technical workflows. Unlike general-purpose models, it is tuned to prioritize code structure and syntax, making it highly effective at pinpointing exact lines of code that need adjustment or translation updates without needing excessive prompt engineering.
Codex Spark excels in environments where the AI acts as an integrated assistant rather than just a chatbot. It is particularly well-suited for repetitive, high-precision tasks such as scanning diffs for hardcoded strings that should be moved to translation files. Because it is optimized for developer tooling, its reasoning processes are often faster and more focused, reducing the overhead of explaining why a piece of code failed a standard check. For teams managing small-to-medium PRs—typically in the 50-200 KB range—Codex Spark offers a balance of precision and technical capability that is difficult for less-specialized models to match. It is a workhorse model for teams that need consistent, reliable feedback on every commit, ensuring that localization standards are maintained automatically throughout the development lifecycle without requiring a human to manually flag every deviation.