Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7 (Adaptive)
90
Mistral Medium 3.5 128B
95
Verified leaderboard positions: Claude Opus 4.7 (Adaptive) #5 · Mistral Medium 3.5 128B unranked
Pick Mistral Medium 3.5 128B if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if you need the larger 1M context window.
Coding
+4.7 difference
Claude Opus 4.7 (Adaptive)
Mistral Medium 3.5 128B
$5 / $25
$1.5 / $7.5
N/A
N/A
N/A
N/A
1M
256K
Pick Mistral Medium 3.5 128B if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if you need the larger 1M context window.
Mistral Medium 3.5 128B is clearly ahead on the provisional aggregate, 95 to 90. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Medium 3.5 128B's sharpest advantage is in coding, where it averages 77.6 against 72.9. The single biggest benchmark swing on the page is SWE-bench Verified, 87.6% to 77.6%.
Claude Opus 4.7 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.50 input / $7.50 output per 1M tokens for Mistral Medium 3.5 128B. That is roughly 3.3x on output cost alone. Claude Opus 4.7 (Adaptive) gives you the larger context window at 1M, compared with 256K for Mistral Medium 3.5 128B.
Mistral Medium 3.5 128B is ahead on BenchLM's provisional leaderboard, 95 to 90. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 87.6% and 77.6%.
Mistral Medium 3.5 128B has the edge for coding in this comparison, averaging 77.6 versus 72.9. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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