| Signal | GPT-5.3-Codex | Delta | MiniMax M3 |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 88 | +15 | |
Pricing | 86 | -13 | |
Context window size | 80 | -6 | |
Recency | 100 | -- | |
Output Capacity | 85 | -10 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
88.2
current score
GPT-5.3-Codex
right now
74.2
current score
OpenAI
MiniMax
MiniMax M3 saves you $785.00/month
That's $9420.00/year compared to GPT-5.3-Codex at your current usage level of 100K calls/month.
| Metric | GPT-5.3-Codex | MiniMax M3 | Winner |
|---|---|---|---|
| Overall Score | 88 | 74 | GPT-5.3-Codex |
| Rank | #18 | #72 | GPT-5.3-Codex |
| Quality Rank | #18 | #72 | GPT-5.3-Codex |
| Adoption Rank | #18 | #72 | GPT-5.3-Codex |
| Parameters | -- | -- | -- |
| Context Window | 400K | 1049K | MiniMax M3 |
| Pricing | $1.75/$14.00/M | $0.30/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5.3-Codex |
| Benchmarks | 88 | 73 | GPT-5.3-Codex |
| Pricing | 86 | 99 | MiniMax M3 |
| Context window size | 80 | 86 | MiniMax M3 |
| Recency | 100 | 100 | GPT-5.3-Codex |
| Output Capacity | 85 | 95 | MiniMax M3 |
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 88/100 (rank #18), placing it in the top 94% of all 290 models tracked.
Scores 74/100 (rank #72), placing it in the top 76% of all 290 models tracked.
GPT-5.3-Codex has a 14-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
MiniMax M3 offers 90% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with MiniMax M3 vs $236.25/month with GPT-5.3-Codex - a $213.75 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. MiniMax M3 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 ($1.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (88/100) 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-5.3-Codex clearly outperforms MiniMax M3 with a significant 14-point lead. For most general use cases, GPT-5.3-Codex is the stronger choice. However, MiniMax M3 may still excel in niche scenarios.
Best for Quality
GPT-5.3-Codex
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M3
90% lower pricing; better value at scale
Best for Reliability
GPT-5.3-Codex
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.3-Codex
Stronger community support and better developer experience
Best for Production
GPT-5.3-Codex
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.3-Codex | MiniMax M3 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
MiniMax
MiniMax M3 saves you $17.97/month
That's 90% cheaper than GPT-5.3-Codex 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 | GPT-5.3-Codex | MiniMax M3 |
|---|---|---|
| Context Window | 400K | 1.0M |
| Max Output Tokens | 128,000 | 512,000 |
| Open Source | No | Yes |
| Created | Feb 24, 2026 | May 31, 2026 |