Claude Opus 4vsMistral Medium 3.5
Claude Opus 4 | Mistral Medium 3.5 | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | — | 128B |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | — | 256k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $1.50 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $7.50 |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $15.00Google | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $75.00Google | — |
| Benchmarks | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 72.5% | 77.6% |
| BenchmarksPublished by one model only | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 34% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 79.6% | — |
| Overview | ||
| Company | Anthropic | Mistral |
| Release date | May 22 2025 | Apr 29 2026 |
| Access | Proprietary | Open Weight |
Other comparisons
Claude Opus 4vsGPT-6 AstraMistral Medium 3.5vsGPT-6 AstraClaude Opus 4vsGemini 3.8 FlashMistral Medium 3.5vsGemini 3.8 FlashClaude Opus 4vsMuse Spark 1.3Mistral Medium 3.5vsMuse Spark 1.3Claude Opus 4vsGrok 4.6Mistral Medium 3.5vsGrok 4.6Claude Opus 4vsDeepSeek-V4.1-FlashMistral Medium 3.5vsDeepSeek-V4.1-FlashClaude Opus 4vsKimi K3Mistral Medium 3.5vsKimi K3
Frequently asked questions
Mistral Medium 3.5 leads Claude Opus 4 on 1 of the 1 benchmark they both report (SWE-Bench Verified). Only Mistral Medium 3.5 has a verified first-party API price: $1.50 per million input tokens and $7.50 per million output tokens. No pay-as-you-go API rate is tracked for Claude Opus 4. Claude Opus 4 shipped 342 days before Mistral Medium 3.5, so benchmark comparisons should account for the intervening progress.
Claude Opus 4 is proprietary, while Mistral Medium 3.5 is open weight.
On SWE-Bench Verified, Mistral Medium 3.5 leads at 77.6% vs Claude Opus 4 at 72.5%.