MModelspectraIndependent AI Model Intelligence
Head-to-head · Updated 2026-09-08
Model Comparison · Head to Head

MiniMax M3 vs Doubao Seed Evolving

MiniMax M3 wins on Overall, Coding; Doubao Seed Evolving wins on Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorMiniMax / ByteDance
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose MiniMax M3 when coding depth, lower refusal matter most; choose Doubao Seed Evolving when its stronger dimensions is the priority.

Choose MiniMax M3 if you…

  • Strong agent ability
  • Open source
  • Low price
  • Best for: AI agents, Open source, Chinese

Choose Doubao Seed Evolving if you…

  • Continuously updated
  • 1M context
  • Good Chinese
  • ByteDance ecosystem
  • Best for: Chinese, Long context, Continuously evolving
02

Head-to-head aggregate scores

Scores are 0–100, aggregated from public benchmark information and independently weighted across three leaderboards. Rank is out of 22 tracked models.

MiniMax M3 Higher overall
MiniMax · #13 overall
Overall70
Coding68
Multimodal70
VS
Doubao Seed Evolving
ByteDance · #15 overall
Overall68
Coding67
Multimodal83

Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.

03

Specs & pricing — every field side by side

List API prices in USD per 1M tokens. The highlighted cell is the stronger value/capability on that row.

DimensionMiniMax M3Doubao Seed EvolvingVerdict
VendorMiniMax (CN)ByteDance (CN)Different vendors
Released2026.062026.07Doubao Seed Evolving is newer
Overall (rank)70 · #1368 · #15MiniMax M3 +2
Coding68 · #1367 · #14MiniMax M3 +1
Multimodal70 · #1883 · #9Doubao Seed Evolving +13
Context window1M1MTie
Max output64K256KMiniMax M3 longer
Effective-context9092Doubao Seed Evolving more reliable
Input $/1M$0.6$0.83MiniMax M3 cheaper
Output $/1M$2.4$4.17MiniMax M3 cheaper
Cache discountnonecustomDoubao Seed Evolving deeper
Speed~60 tok/s~60 tok/sTie
TTFT0.5s0.5sTie
Function calling8482MiniMax M3 ahead
Refusal rate~7%~10%MiniMax M3 less restrictive
English7070Tie
Chinese8893Doubao Seed Evolving
Modalitiestexttext, imagedifferent coverage
Open weightsYesNoMiniMax M3 is open
Fine-tuningYesNo
Free tierHailuo AI free; open-platform quotaDoubao App free
SOC2 / no-trainno / yesno / yes
Private deploymentYesYesBoth support it

Fields drawn from vendor public documentation and the Modelspectra 22-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

MiniMax M3 leads the overall aggregate by 2 points (70 vs 68). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Doubao Seed Evolving remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a modest gap: MiniMax M3 scores 68 against 67. On multi-file edits, SWE-style tickets and long-horizon agent loops MiniMax M3 needs fewer correction turns; Doubao Seed Evolving is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Doubao Seed Evolving leads multimodal 83 vs 70. A concrete modality difference: Doubao Seed Evolving additionally handles image. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

MiniMax M3 is faster in interactive use: ~60 tok/s with 0.5s TTFT versus ~60 tok/s with 0.5s TTFT (about 1.0× the throughput). For conversational UIs where perceived responsiveness drives retention, that edge is a real product factor even when raw reasoning is lower.

Context: window vs usable recall

Nominal windows are 1M for MiniMax M3 and 1M for Doubao Seed Evolving. Crucially, the larger nominal window does not win on usable recall: MiniMax M3 advertises 1M but Doubao Seed Evolving scores higher on effective-context (92 vs 90), i.e. it actually retains more of what it was given.

Price & total cost

MiniMax M3 is the cheaper API at $0.6/$2.4 versus Doubao Seed Evolving at $0.83/$4.17 per 1M input/output tokens — list input is about 1.4× lower.

Chinese vs English

English: MiniMax M3 70 vs Doubao Seed Evolving 70. Chinese: 88 vs 93. For Chinese-language production, Doubao Seed Evolving is the stronger pick. Note that non-Chinese models generally require overseas network access for their APIs.

Tool use & ecosystem

Function-calling score: MiniMax M3 84 vs Doubao Seed Evolving 82, so MiniMax M3 has the edge on structured tool use. Fine-tuning is available from MiniMax M3. Factor in existing SDK/plugin familiarity — switching cost often outweighs a few-point tool-use gap.

05

Cost worked example — same workload, real token math

Assume a production workload of 100M input + 30M output tokens per month, with 90% of input tokens served from cache. Figures use public list prices.

Scenario · per monthMiniMax M3Doubao Seed EvolvingGap
List priceno cache applied$132100M in × $0.6  +  30M out × $2.4$208100M in × $0.83  +  30M out × $4.171.58×gap
With caching90% of inputs cache-hit$132no published cache discount$208no published cache discount1.58×gap

Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.

06

Decision tree

IF the workload is agentic or multi-file coding and a wrong first pass is expensive  →  choose MiniMax M3 (coding 68 vs 67).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose MiniMax M3 ($$0.6/$$2.4 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Doubao Seed Evolving (effective context 92 vs 90).
IF data residency or air-gapped deployment is a hard requirement  →  choose MiniMax M3 (self-hostable open weights).
07

Frequently asked questions

How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, MiniMax M3 is about $132/month and Doubao Seed Evolving about $208/month after cache discounts ($132 and $208 at list).
Does the bigger context window actually matter?
Nominal windows are MiniMax M3 (1M) and Doubao Seed Evolving (1M), but usable recall follows the effective-context score (90 vs 92). Prefer the higher effective-context model for long-document work where nothing can be missed.
Can I self-host either model?
MiniMax M3 ships open weights and can be self-hosted (GPU permitting) for data control; Doubao Seed Evolving is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.
Which one supports fine-tuning?
MiniMax M3 supports fine-tuning; Doubao Seed Evolving does not at this tier. If you plan to adapt the model to a narrow domain, that is a concrete differentiator.
Which handles multimodal inputs better?
Multimodal scores are 70 (MiniMax M3) vs 83 (Doubao Seed Evolving), with modality coverage text versus text/image. Match the model to the input types your product actually receives.
What is the single-line recommendation?
Choose MiniMax M3 for AI agents, Open source; choose Doubao Seed Evolving for Chinese, Long context.