Gemini 4 Argon (batch) vs GPT-4o-mini (2024-07-18)
| Signal | Gemini 4 Argon (batch) | Delta | GPT-4o-mini (2024-07-18) |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 95 | -4 | |
Context window size | 96 | +14 | |
Recency | 100 | +100 | |
Output Capacity | 96 | +28 | |
Benchmarks | 0 | -43 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
40
current score
GPT-4o-mini (2024-07-18)
right now
46.3
current score
Gemini 4 Argon (batch)
GPT-4o-mini (2024-07-18)
OpenAI
GPT-4o-mini (2024-07-18) saves you $305.00/month
That's $3660.00/year compared to Gemini 4 Argon (batch) at your current usage level of 100K calls/month.
| Metric | Gemini 4 Argon (batch) | GPT-4o-mini (2024-07-18) | Winner |
|---|---|---|---|
| Overall Score | 40 | 46 | GPT-4o-mini (2024-07-18) |
| Rank | #203 | #169 | GPT-4o-mini (2024-07-18) |
| Quality Rank | #203 | #169 | GPT-4o-mini (2024-07-18) |
| Adoption Rank | #203 | #169 | GPT-4o-mini (2024-07-18) |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 128K | Gemini 4 Argon (batch) |
| Pricing | $1.00/$5.00/M | $0.15/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Gemini 4 Argon (batch) |
| Pricing | 95 | 99 | GPT-4o-mini (2024-07-18) |
| Context window size | 96 | 81 | Gemini 4 Argon (batch) |
| Recency | 100 | 0 | Gemini 4 Argon (batch) |
| Output Capacity | 96 | 67 | Gemini 4 Argon (batch) |
| Benchmarks | -- | 43 | GPT-4o-mini (2024-07-18) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #203), placing it in the top 30% of all 290 models tracked.
Scores 46/100 (rank #169), placing it in the top 42% of all 290 models tracked.
GPT-4o-mini (2024-07-18) has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose Gemini 4 Argon (batch) when you need:
- Processing long documents or large codebases (1049K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Choose GPT-4o-mini (2024-07-18) when you need:
- High-volume production workloads where API costs must be minimized
GPT-4o-mini (2024-07-18) offers 88% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with GPT-4o-mini (2024-07-18) vs $90.00/month with Gemini 4 Argon (batch) - a $78.75 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-4o-mini (2024-07-18) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (46/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-4o-mini (2024-07-18) has a moderate advantage with a 6.299999999999997-point lead in composite score. It wins on more signal dimensions, but Gemini 4 Argon (batch) has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
Gemini 4 Argon (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4o-mini (2024-07-18)
88% lower pricing; better value at scale
Best for Reliability
Gemini 4 Argon (batch)
Higher uptime and faster response speeds
Best for Prototyping
Gemini 4 Argon (batch)
Stronger community support and better developer experience
Best for Production
Gemini 4 Argon (batch)
Wider enterprise adoption and proven at scale
by Google
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Cost - 88% lower pricing; better value at scale
| Capability | Gemini 4 Argon (batch) | GPT-4o-mini (2024-07-18) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Gemini 4 Argon (batch)
GPT-4o-mini (2024-07-18)
OpenAI
GPT-4o-mini (2024-07-18) saves you $6.81/month
That's 87% cheaper than Gemini 4 Argon (batch) at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemini 4 Argon (batch) | GPT-4o-mini (2024-07-18) |
|---|---|---|
| Context Window | 1.0M | 128K |
| Max Output Tokens | 943,718 | 16,384 |
| Open Source | No | No |
| Created | Oct 13, 2026 | Jul 18, 2024 |