Side by side
Magnum v4 72B vs GPT-3.5 Turbo 16k
Source: OpenRouter (live)
Live figures
The numbers
Best value in each row is highlighted. "Not declared" means the provider does not advertise the feature on its listing.
| Attribute | ||
|---|---|---|
| Input priceUSD per 1M tokens | $2.50 (best) | $3.00 |
| Output priceUSD per 1M tokens | $5.00 | $4.00 (best) |
| Blended price75% in / 25% out | $3.13 (best) | $3.25 |
| Vs. market median | 3.5× dearer | 3.6× dearer |
| Value rankcheapest = 1 | #326 (best) | #327 |
| Context windowtokens | 33K (best) | 16K |
| Max outputtokens | 4K | 4K |
| Input modalities | text | text |
| Output modalities | text | text |
| Tool calling | Not declared | Declared |
| Reasoning | Not declared | Not declared |
| Structured output | Declared | Declared |
| Listed on OpenRouter | 2024-10-22 (best) | 2023-08-28 |
Blended price assumes a 3:1 input-to-output token mix. Median is across all 429 priced models.
Add or swap modelsCost calculator
At your volume
Estimate the monthly bill for these models at your own token volumes.
| Model | Input | Output | Monthly | Yearly | vs cheapest | |
|---|---|---|---|---|---|---|
| Magnum v4 72B Anthracite Org · $2.50 in / $5.00 out per M | $125 | $75 | $200 | $2,400 | Cheapest | |
| OpenAI: GPT-3.5 Turbo 16k OpenAI · $3.00 in / $4.00 out per M | $150 | $60 | $210 | $2,520 | +$10 (1.1×) |
Estimates use list prices per million tokens from live provider listings. Cached-input, batch and volume discounts are not included, so real bills are often lower.
Read-out
What the numbers say
- Magnum v4 72B is the cheapest here at $3.13/M blended; OpenAI: GPT-3.5 Turbo 16k costs 4% more.
- Magnum v4 72B offers the largest context window (33K tokens) versus 16K for OpenAI: GPT-3.5 Turbo 16k.
- Tool calling is declared for OpenAI: GPT-3.5 Turbo 16k only.
Models
Model pages
Full pricing history, capabilities and alternatives for each model in this comparison.
Anthracite Org
$3.13
/M blended
$3.25
/M blended
More comparisons
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Gemini's very long context and multimodal input against GPT-5's ecosystem and pricing.
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