Model Comparison
GPT-5 (ChatGPT)
vs. M (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Sarvam
Recommended Pick
Op GPT-5 (ChatGPT) 14 metric wins Strongest on: Throughput, TTFT, Latency
Lowest Price
M (Reasoning)
$0.00/1M input price
Best Reasoning
GPT-5 (ChatGPT)
38.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5 (ChatGPT)
21.2 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
M (Reasoning) is ∞x cheaper on input tokens than GPT-5 (ChatGPT).
Speed gap
GPT-5 (ChatGPT) generates about 1.2x as many tokens per second as M (Reasoning).
Reasoning gap
GPT-5 (ChatGPT) leads M (Reasoning) by 6.9 points on reasoning.
Coding gap
GPT-5 (ChatGPT) leads M (Reasoning) by 13.7 points on coding.
Top-pick rationale
GPT-5 (ChatGPT) wins 14 measurable categories, including Throughput, TTFT, Latency, Reasoning.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5 (ChatGPT)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M (Reasoning)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Op GPT-5 (ChatGPT) | Sa M (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.00/1M |
| Output Cost | $10.00/1M | $0.00/1M |
| Blended (3:1) | $3.44/1M | — |
| Specifications | ||
| Organization | OpenAI | Sarvam |
| Release Date | Aug 7, 2025 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | 172.8 tok/s | 147.5 tok/s |
| TTFT | 561ms | 1127ms |
| Latency | 561ms | 14687ms |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 38.6 | 31.7 |
| Intelligence | 21.8 | 8.4 |
| Coding | 21.2 | 7.5 |
| Math | 48.3 | — |
| Standard Benchmarks | ||
| GPQA | 68.6% | 41.6% |
| MMLU Pro | 82.0% | 69.6% |
| HLE | 5.8% | 3.3% |
| LiveCodeBench | 54.3% | 29.5% |
| MATH 500 | — | 84.7% |
| AIME 2025 | 48.3% | — |
| AIME (Original) | — | 20.3% |
| SciCode | 37.8% | 17.8% |
| LCR | 63.7% | 0.0% |
| IFBench | 45.0% | 31.8% |
| TAU-bench v2 | 0.0% | 0.0% |
| TerminalBench Hard | 12.9% | 2.3% |
Key Takeaways
M (Reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5 (ChatGPT) has the strongest reasoning profile with a 38.6 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5 (ChatGPT) reaches a 21.2 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GPT-5 (ChatGPT)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
M (Reasoning)
- Cost-sensitive applications
- High-volume processing
