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

Claude Opus 4.8 vs MiniMax M3

Claude Opus 4.8 wins on Overall, Coding, Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorAnthropic / MiniMax
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Claude Opus 4.8 when coding depth, long-context reliability matter most; choose MiniMax M3 when lower cost, lower latency, fine-tuning/ecosystem is the priority.

Choose Claude Opus 4.8 if you…

  • Previous flagship still capable
  • Well-proven stability
  • Best for: Deep reasoning, Long documents, Coding

Choose MiniMax M3 if you…

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

Claude Opus 4.8 Higher overall
Anthropic · #5 overall
Overall81
Coding87
Multimodal89
VS
MiniMax M3
MiniMax · #13 overall
Overall70
Coding68
Multimodal70

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.

DimensionClaude Opus 4.8MiniMax M3Verdict
VendorAnthropic (US)MiniMax (CN)Different vendors
Released2026.052026.06MiniMax M3 is newer
Overall (rank)81 · #570 · #13Claude Opus 4.8 +11
Coding87 · #468 · #13Claude Opus 4.8 +19
Multimodal89 · #670 · #18Claude Opus 4.8 +19
Context window1M1MTie
Max output128K64KMiniMax M3 longer
Effective-context9690Claude Opus 4.8 more reliable
Input $/1M$5$0.6MiniMax M3 cheaper
Output $/1M$25$2.4MiniMax M3 cheaper
Cache discount90% offnoneClaude Opus 4.8 deeper
Speed~40 tok/s~60 tok/sMiniMax M3 faster
TTFT1.0s0.5sMiniMax M3 snappier
Function calling8884Claude Opus 4.8 ahead
Refusal rate~9%~7%MiniMax M3 less restrictive
English9470Claude Opus 4.8
Chinese7888MiniMax M3
Modalitiestext, imagetextdifferent coverage
Open weightsNoYesMiniMax M3 is open
Fine-tuningNoYes
Free tierNo free tierHailuo AI free; open-platform quota
SOC2 / no-trainyes / yesno / yes
Private deploymentNoYesMiniMax M3

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

Claude Opus 4.8 leads the overall aggregate by 11 points (81 vs 70). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while MiniMax M3 remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a clear gap: Claude Opus 4.8 scores 87 against 68. On multi-file edits, SWE-style tickets and long-horizon agent loops Claude Opus 4.8 needs fewer correction turns; MiniMax M3 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Claude Opus 4.8 leads multimodal 89 vs 70. A concrete modality difference: Claude Opus 4.8 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 ~40 tok/s with 1.0s TTFT (about 1.5× 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 Claude Opus 4.8 and 1M for MiniMax M3. Effective-context scores point the same way as window size — Claude Opus 4.8 is ahead on usable recall (96 vs 90), so prefer it for long-document work where details cannot be missed.

Price & total cost

MiniMax M3 is the cheaper API at $0.6/$2.4 versus Claude Opus 4.8 at $5/$25 per 1M input/output tokens — list input is about 8.3× lower. Cache discounts (Claude Opus 4.8 90%) shift the effective bill, worked out below.

Chinese vs English

English: Claude Opus 4.8 94 vs MiniMax M3 70. Chinese: 78 vs 88. For Chinese-language production, MiniMax M3 is the stronger pick. Note that non-Chinese models generally require overseas network access for their APIs.

Tool use & ecosystem

Function-calling score: Claude Opus 4.8 88 vs MiniMax M3 84, so Claude Opus 4.8 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 monthClaude Opus 4.8MiniMax M3Gap
List priceno cache applied$1,250100M in × $5  +  30M out × $25$132100M in × $0.6  +  30M out × $2.49.47×gap
With caching90% of inputs cache-hit$84590M cached in × $0.5  +  10M in × $5  +  30M out × $25$132no published cache discount6.40×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 Claude Opus 4.8 (coding 87 vs 68).
IF you serve real-time users and latency is a product KPI  →  choose MiniMax M3 (~60 tok/s, 0.5s TTFT).
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 Claude Opus 4.8 (effective context 96 vs 90).
07

Frequently asked questions

Is Claude Opus 4.8 worth the higher price over MiniMax M3?
At list the input rate is 8.3x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when Claude Opus 4.8's stronger dimensions protect revenue; for routine volume MiniMax M3 is the economical pick.
Which is better for agentic coding?
Claude Opus 4.8 is decisively stronger for coding (87 vs 68 on the aggregate). The gap shows on SWE-style multi-file tasks and long agent loops that need fewer correction turns; MiniMax M3 is fine for routine scripts.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Claude Opus 4.8 is about $845/month and MiniMax M3 about $132/month after cache discounts ($1,250 and $132 at list).
Does the bigger context window actually matter?
Nominal windows are Claude Opus 4.8 (1M) and MiniMax M3 (1M), but usable recall follows the effective-context score (96 vs 90). Prefer the higher effective-context model for long-document work where nothing can be missed.
How do they differ for Chinese-language and data-residency use?
MiniMax M3 is the Chinese model (Chinese score 88, domestic cloud, possible private deployment) while Claude Opus 4.8 is the global model (Chinese 78, overseas API). Pick by language quality, access path and where data must reside.
Can I self-host either model?
MiniMax M3 ships open weights and can be self-hosted (GPU permitting) for data control; Claude Opus 4.8 is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.