| Signal | GPT-3.5 Turbo Instruct | Delta | MiniMax M3 |
|---|---|---|---|
Capabilities | 33 | -50 | |
Pricing | 98 | -1 | |
Context window size | 52 | -34 | |
Recency | 0 | -100 | |
Output Capacity | 60 | -35 | |
Benchmarks | 0 | -73 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
33.6
current score
MiniMax M3
right now
74.2
current score
OpenAI
MiniMax
MiniMax M3 saves you $160.00/month
That's $1920.00/year compared to GPT-3.5 Turbo Instruct at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo Instruct | MiniMax M3 | Winner |
|---|---|---|---|
| Overall Score | 34 | 74 | MiniMax M3 |
| Rank | #306 | #72 | MiniMax M3 |
| Quality Rank | #306 | #72 | MiniMax M3 |
| Adoption Rank | #306 | #72 | MiniMax M3 |
| Parameters | -- | -- | -- |
| Context Window | 4K | 1049K | MiniMax M3 |
| Pricing | $1.50/$2.00/M | $0.30/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 83 | MiniMax M3 |
| Pricing | 98 | 99 | MiniMax M3 |
| Context window size | 52 | 86 | MiniMax M3 |
| Recency | 0 | 100 | MiniMax M3 |
| Output Capacity | 60 | 95 | MiniMax M3 |
| Benchmarks | -- | 73 | 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 34/100 (rank #306), placing it in the top -5% of all 290 models tracked.
Scores 74/100 (rank #72), placing it in the top 76% of all 290 models tracked.
MiniMax M3 has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
MiniMax M3 offers 57% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with MiniMax M3 vs $52.50/month with GPT-3.5 Turbo Instruct - a $30.00 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 (74/100) 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
MiniMax M3 clearly outperforms GPT-3.5 Turbo Instruct with a significant 40.6-point lead. For most general use cases, MiniMax M3 is the stronger choice. However, GPT-3.5 Turbo Instruct may still excel in niche scenarios.
Best for Quality
GPT-3.5 Turbo Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M3
57% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo Instruct
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo Instruct
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo Instruct
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-3.5 Turbo Instruct | MiniMax M3 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
MiniMax
MiniMax M3 saves you $3.12/month
That's 61% cheaper than GPT-3.5 Turbo Instruct 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-3.5 Turbo Instruct | MiniMax M3 |
|---|---|---|
| Context Window | 4K | 1.0M |
| Max Output Tokens | 4,096 | 512,000 |
| Open Source | No | Yes |
| Created | Sep 28, 2023 | May 31, 2026 |