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

MiniMax M2.7 vs Doubao Seed 2.1 Turbo

MiniMax M2.7 wins on Overall; Doubao Seed 2.1 Turbo wins on Coding, 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 M2.7 when lower refusal matter most; choose Doubao Seed 2.1 Turbo when lower latency is the priority.

Choose MiniMax M2.7 if you…

  • Light and fast
  • Open source
  • Low price
  • Best for: Light tasks, Open source, Low cost

Choose Doubao Seed 2.1 Turbo if you…

  • Low price
  • Video support
  • Fast
  • Built for volume
  • Best for: Volume production, Video, Low cost
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 M2.7 Higher overall
MiniMax · #19 overall
Overall64
Coding59
Multimodal62
VS
Doubao Seed 2.1 Turbo
ByteDance · #20 overall
Overall63
Coding61
Multimodal73

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 M2.7Doubao Seed 2.1 TurboVerdict
VendorMiniMax (CN)ByteDance (CN)Different vendors
Released2026.052026.06Doubao Seed 2.1 Turbo is newer
Overall (rank)64 · #1963 · #20MiniMax M2.7 +1
Coding59 · #2161 · #19Doubao Seed 2.1 Turbo +2
Multimodal62 · #2273 · #17Doubao Seed 2.1 Turbo +11
Context window205K256KDoubao Seed 2.1 Turbo larger
Max output32K256KMiniMax M2.7 longer
Effective-context8590Doubao Seed 2.1 Turbo more reliable
Input $/1M$0.27$0.42MiniMax M2.7 cheaper
Output $/1M$1.08$2.08MiniMax M2.7 cheaper
Cache discountnonecustomDoubao Seed 2.1 Turbo deeper
Speed~70 tok/s~75 tok/sDoubao Seed 2.1 Turbo faster
TTFT0.4s0.4sTie
Function calling7280Doubao Seed 2.1 Turbo ahead
Refusal rate~6%~10%MiniMax M2.7 less restrictive
English6568Doubao Seed 2.1 Turbo
Chinese8290Doubao Seed 2.1 Turbo
Modalitiestexttext, image, videodifferent coverage
Open weightsYesNoMiniMax M2.7 is open
Fine-tuningYesYes
Free tierHailuo AI freeDoubao 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 M2.7 leads the overall aggregate by 1 points (64 vs 63). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Doubao Seed 2.1 Turbo remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a modest gap: Doubao Seed 2.1 Turbo scores 61 against 59. On multi-file edits, SWE-style tickets and long-horizon agent loops Doubao Seed 2.1 Turbo needs fewer correction turns; MiniMax M2.7 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Doubao Seed 2.1 Turbo leads multimodal 73 vs 62. A concrete modality difference: Doubao Seed 2.1 Turbo additionally handles image, video.

Speed & latency

Doubao Seed 2.1 Turbo is faster in interactive use: ~75 tok/s with 0.4s TTFT versus ~70 tok/s with 0.4s TTFT (about 1.1× 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 205K for MiniMax M2.7 and 256K for Doubao Seed 2.1 Turbo. Effective-context scores point the same way as window size — Doubao Seed 2.1 Turbo is ahead on usable recall (90 vs 85), so prefer it for long-document work where details cannot be missed.

Price & total cost

MiniMax M2.7 is the cheaper API at $0.27/$1.08 versus Doubao Seed 2.1 Turbo at $0.42/$2.08 per 1M input/output tokens — list input is about 1.6× lower.

Chinese vs English

English: MiniMax M2.7 65 vs Doubao Seed 2.1 Turbo 68. Chinese: 82 vs 90. For Chinese-language production, Doubao Seed 2.1 Turbo is the stronger pick. Note that non-Chinese models generally require overseas network access for their APIs.

Tool use & ecosystem

Function-calling score: MiniMax M2.7 72 vs Doubao Seed 2.1 Turbo 80, so Doubao Seed 2.1 Turbo has the edge on structured tool use. Fine-tuning is available from MiniMax M2.7 and Doubao Seed 2.1 Turbo. 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 M2.7Doubao Seed 2.1 TurboGap
List priceno cache applied$59100M in × $0.27  +  30M out × $1.08$104100M in × $0.42  +  30M out × $2.081.76×gap
With caching90% of inputs cache-hit$59no published cache discount$104no published cache discount1.76×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 Doubao Seed 2.1 Turbo (coding 61 vs 59).
IF you serve real-time users and latency is a product KPI  →  choose Doubao Seed 2.1 Turbo (~75 tok/s, 0.4s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose MiniMax M2.7 ($$0.27/$$1.08 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Doubao Seed 2.1 Turbo (effective context 90 vs 85).
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 M2.7 is about $59/month and Doubao Seed 2.1 Turbo about $104/month after cache discounts ($59 and $104 at list).
Does the bigger context window actually matter?
Nominal windows are MiniMax M2.7 (205K) and Doubao Seed 2.1 Turbo (256K), but usable recall follows the effective-context score (85 vs 90). Prefer the higher effective-context model for long-document work where nothing can be missed.
Can I self-host either model?
MiniMax M2.7 ships open weights and can be self-hosted (GPU permitting) for data control; Doubao Seed 2.1 Turbo is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.
Which handles multimodal inputs better?
Multimodal scores are 62 (MiniMax M2.7) vs 73 (Doubao Seed 2.1 Turbo), with modality coverage text versus text/image/video. Match the model to the input types your product actually receives.
What is the single-line recommendation?
Choose MiniMax M2.7 for Light tasks, Open source; choose Doubao Seed 2.1 Turbo for Volume production, Video.
How quickly do these rankings change?
Modelspectra refreshes the aggregate as new public benchmarks and prices appear. Treat scores within 3 points as a tie and re-check before a committed purchase.