Claude Sonnet 5 vs MiniMax M3
Claude Sonnet 5 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.
Verdict at a glance
Choose Claude Sonnet 5 if you…
- Fast
- Moderately priced
- Anthropic quality
- Value flagship
- Best for: Daily tasks, Fast responses, Coding
Choose MiniMax M3 if you…
- Strong agent ability
- Open source
- Low price
- Best for: AI agents, Open source, Chinese
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.
Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.
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.
| Dimension | Claude Sonnet 5 | MiniMax M3 | Verdict |
|---|---|---|---|
| Vendor | Anthropic (US) | MiniMax (CN) | Different vendors |
| Released | 2026.06 | 2026.06 | MiniMax M3 is newer |
| Overall (rank) | 71 · #12 | 70 · #13 | Claude Sonnet 5 +1 |
| Coding | 73 · #10 | 68 · #13 | Claude Sonnet 5 +5 |
| Multimodal | 76 · #14 | 70 · #18 | Claude Sonnet 5 +6 |
| Context window | 1M | 1M | Tie |
| Max output | 128K | 64K | MiniMax M3 longer |
| Effective-context | 95 | 90 | Claude Sonnet 5 more reliable |
| Input $/1M | $3 | $0.6 | MiniMax M3 cheaper |
| Output $/1M | $15 | $2.4 | MiniMax M3 cheaper |
| Cache discount | 90% off | none | Claude Sonnet 5 deeper |
| Speed | ~65 tok/s | ~60 tok/s | Claude Sonnet 5 faster |
| TTFT | 0.5s | 0.5s | Tie |
| Function calling | 88 | 84 | Claude Sonnet 5 ahead |
| Refusal rate | ~8% | ~7% | MiniMax M3 less restrictive |
| English | 90 | 70 | Claude Sonnet 5 |
| Chinese | 78 | 88 | MiniMax M3 |
| Modalities | text, image | text | different coverage |
| Open weights | No | Yes | MiniMax M3 is open |
| Fine-tuning | No | Yes | |
| Free tier | No free tier | Hailuo AI free; open-platform quota | |
| SOC2 / no-train | yes / yes | no / yes | |
| Private deployment | No | Yes | MiniMax 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.
Dimension-by-dimension analysis
Reasoning & overall intelligence
Claude Sonnet 5 leads the overall aggregate by 1 points (71 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 modest gap: Claude Sonnet 5 scores 73 against 68. On multi-file edits, SWE-style tickets and long-horizon agent loops Claude Sonnet 5 needs fewer correction turns; MiniMax M3 is still competent for scripts and assisted completion but trails as task complexity rises.
Multimodal
Claude Sonnet 5 leads multimodal 76 vs 70. A concrete modality difference: Claude Sonnet 5 additionally handles image. Neither emits native video, so the comparison is about parsing images and documents, not generation.
Speed & latency
Claude Sonnet 5 is faster in interactive use: ~65 tok/s with 0.5s TTFT versus ~60 tok/s with 0.5s 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 1M for Claude Sonnet 5 and 1M for MiniMax M3. Effective-context scores point the same way as window size — Claude Sonnet 5 is ahead on usable recall (95 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 Sonnet 5 at $3/$15 per 1M input/output tokens — list input is about 5.0× lower. Cache discounts (Claude Sonnet 5 90%) shift the effective bill, worked out below.
Chinese vs English
English: Claude Sonnet 5 90 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 Sonnet 5 88 vs MiniMax M3 84, so Claude Sonnet 5 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.
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 month | Claude Sonnet 5 | MiniMax M3 | Gap |
|---|---|---|---|
| List priceno cache applied | $750100M in × $3 + 30M out × $15 | $132100M in × $0.6 + 30M out × $2.4 | 5.68×gap |
| With caching90% of inputs cache-hit | $50790M cached in × $0.3 + 10M in × $3 + 30M out × $15 | $132no published cache discount | 3.84×gap |
Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.