// head_to_head
DeepSeek V4 Flash 0731 vs MiniMax M3
Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.
DeepSeek V4 Flash 0731 wins outright — it scores higher and costs less.
DeepSeek V4 Flash 0731 leads by 6.9 points overall while listing 5.0× cheaper per blended million tokens. There is no trade-off to reason about here; the only reason to pick the other is a constraint this table does not show, like an existing contract, a region, or a provider you are already on.
deepseek
DeepSeek V4 Flash 0731
- Blended / 1M
- $0.105
- Context
- 1.3M
- Released
- Jul 31, 2026
- Overall score
- 74.2
minimax
MiniMax M3
- Blended / 1M
- $0.525
- Context
- 1.0M
- Released
- May 31, 2026
- Overall score
- 67.3
Specs and pricing
| Metric | DeepSeek V4 Flash 0731 | MiniMax M3 |
|---|---|---|
| LiveBench overall Mean of the seven LiveBench category scores, 0–100. Higher is better. | 74.2win | 67.3 |
| Cost per point Measured benchmark spend divided by overall score — dollars per point of capability. | $0.0356 | $0.0339 |
| Blended price / 1M 3:1 input:output mix, the usual shape of production traffic. | $0.105win | $0.525 |
| Input price / 1M | $0.080win | $0.300 |
| Output price / 1M | $0.180win | $1.20 |
| Cached input / 1M Price of an input token served from the prompt cache, where the provider publishes one. | $0.016win | $0.060 |
| Context window | 1.3M | 1.0M |
| Max output tokens | 384K | 512Kwin |
Benchmarks by category
An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — DeepSeek V4 Flash 0731 on top, MiniMax M3 below, both out of 100.
What each one costs to run
Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.
| Workload | DeepSeek V4 Flash 0731 | MiniMax M3 |
|---|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $28.99/mo | $150.72/mo |
| RAG assistant 8K in / 600 out × 100K requests | $49.20/mo | $216.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $42.56/mo | $201.60/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $90.30/mo | $378.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $186.00/mo | $750.00/mo |
Which should you pick?
Quality matters more than the bill
DeepSeek V4 Flash 0731
Highest overall LiveBench score of the two at 74.2.
The workload is coding or agentic work
DeepSeek V4 Flash 0731
Leads on agentic coding — 46.8 against 40.7.
DeepSeek V4 Flash 0731 vs MiniMax M3 FAQ
Which is better, DeepSeek V4 Flash 0731 or MiniMax M3?
DeepSeek V4 Flash 0731 wins outright — it scores higher and costs less. DeepSeek V4 Flash 0731 leads by 6.9 points overall while listing 5.0× cheaper per blended million tokens. There is no trade-off to reason about here; the only reason to pick the other is a constraint this table does not show, like an existing contract, a region, or a provider you are already on.
Is DeepSeek V4 Flash 0731 cheaper than MiniMax M3?
DeepSeek V4 Flash 0731 is cheaper. On a 3:1 input:output blend, DeepSeek V4 Flash 0731 lists at $0.105 per million tokens and MiniMax M3 at $0.525 — DeepSeek V4 Flash 0731 is 5.0× cheaper. Input and output are priced separately — DeepSeek V4 Flash 0731 charges $0.080 in and $0.180 out, MiniMax M3 charges $0.300 and $1.20 — so the model that looks cheaper flips depending on how output-heavy your workload is.
DeepSeek V4 Flash 0731 vs MiniMax M3: which scores higher on benchmarks?
DeepSeek V4 Flash 0731 scores 74.2 and MiniMax M3 scores 67.3 overall on LiveBench, the mean of its seven categories. That is a 6.9-point lead for DeepSeek V4 Flash 0731. Category scores differ from the overall figure — a model can lead on reasoning and trail on coding, which the per-category table above breaks out.
Which gives better value for money, DeepSeek V4 Flash 0731 or MiniMax M3?
They are close. DeepSeek V4 Flash 0731 costs $0.0356 per point of overall capability and MiniMax M3 costs $0.0339, a difference small enough that workload shape will matter more than the rate.
Does DeepSeek V4 Flash 0731 or MiniMax M3 have a bigger context window?
They are effectively the same — 1.3M for DeepSeek V4 Flash 0731 and 1.0M for MiniMax M3.
Do DeepSeek V4 Flash 0731 and MiniMax M3 support prompt caching?
Both publish a cached-input rate: $0.016 per million for DeepSeek V4 Flash 0731 and $0.060 for MiniMax M3, against full input rates of $0.080 and $0.300. On a workload with a long stable prefix — a system prompt, a tool schema, a retrieved corpus — that changes the economics more than the headline price does.
Related comparisons
How these numbers are produced
- Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores — LiveBench release 2026-06-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
- “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.