Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 Flash is clearly ahead on the aggregate, 56 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed 1.6 Flash's sharpest advantage is in multimodal & grounded, where it averages 73.1 against 35.5. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 35. Mixtral 8x22B Instruct v0.1 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Seed 1.6 Flash is also the more expensive model on tokens at $0.08 input / $0.30 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mixtral 8x22B Instruct v0.1. That is roughly Infinityx on output cost alone. Seed 1.6 Flash is the reasoning model in the pair, while Mixtral 8x22B Instruct v0.1 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Seed 1.6 Flash gives you the larger context window at 256K, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Seed 1.6 Flash
54.5
Mixtral 8x22B Instruct v0.1
31.8
Seed 1.6 Flash
27.6
Mixtral 8x22B Instruct v0.1
40
Seed 1.6 Flash
73.1
Mixtral 8x22B Instruct v0.1
35.5
Seed 1.6 Flash
66.8
Mixtral 8x22B Instruct v0.1
38.6
Seed 1.6 Flash
47.3
Mixtral 8x22B Instruct v0.1
53
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Seed 1.6 Flash
72.8
Mixtral 8x22B Instruct v0.1
42
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Seed 1.6 Flash is ahead overall, 56 to 35. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 35.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 53 versus 47.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for coding in this comparison, averaging 40 versus 27.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for reasoning in this comparison, averaging 66.8 versus 38.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for agentic tasks in this comparison, averaging 54.5 versus 31.8. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 35.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multilingual tasks in this comparison, averaging 72.8 versus 42. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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