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  3. DeepSeek: R1 Distill Llama 70B vs MiniMax M2.5

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

DeepSeek: R1 Distill Llama 70B vs MiniMax M2.5 benchmark

In this head-to-head showdown, DeepSeek: R1 Distill Llama 70B is more budget-friendly at $0.8/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both DeepSeek: R1 Distill Llama 70B and MiniMax M2.5 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

MiniMax M2.5 holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
MiniMax M2.5Top code solve rate
ReasoningGPQA / Live
MiniMax M2.5Top logical accuracy
Best Value$/1M Tok
DeepSeek: R1 Distill Llama 70BLowest API billing cost
Speed / TokTok/Sec
MiniMax M2.5Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

DeepSeek: R1 Distill Llama 70B (1)MiniMax M2.5 (2)
DeepSeek: R1 Distill Llama 70B
1 of 3 Wins
✓Output price
MiniMax M2.5
2 of 3 Wins
✓Input price✓Context window
DeepSeek
Leads 1 of 3
DeepSeek: R1 Distill Llama 70B

Auto-discovered from OpenRouter (deepseek/deepseek-r1-distill-llama-70b). Preview until a second source matches.

In: $0.8 · Out: $0.8/1M
MiniMax
Leads 2 of 3
MiniMax M2.5

MiniMax coding model. Tied near the top of official SWE-bench bash-only in Feb 2026.

Elo 1,478In: $0.22 · Out: $0.9/1M
Top Rival Showdowns for DeepSeek: R1 Distill Llama 70B
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderDeepSeek: R1 Distill Llama 70B Wins

DeepSeek: R1 Distill Llama 70B

$0.7999999999999999 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

DeepSeek: R1 Distill Llama 70B (1)vsMiniMax M2.5 (9)
DeepSeek: R1 Distill Llama 70B: 1W (10%)Overall: MiniMax M2.5MiniMax M2.5: 9W (90%)
← DeepSeek: R1 Distill Llama 70BMiniMax M2.5 →
🏆MiniMax M2.5 Leads(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
DeepSeek: R1 Distill Llama 70BvsMiniMax M2.5
Preference Elo
—vs1,478
Coding Elo
—vs1,536
SWE-bench
—vs75.8%
LiveBench
—vs64.4%
GPQA Diamond
—vs76.2%
DeepSeek: R1 Distill Llama 70B: 0WMiniMax M2.5: 5W
🏆MiniMax M2.5 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
DeepSeek: R1 Distill Llama 70BvsMiniMax M2.5
Output speed
—vs90 tok/s
Time to first token
—vs250 ms
DeepSeek: R1 Distill Llama 70B: 0WMiniMax M2.5: 2W
🏆MiniMax M2.5 Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
DeepSeek: R1 Distill Llama 70BvsMiniMax M2.5
Output price
$0.8/1Mvs$0.9/1M+$0.1/1M
Input price
$0.8/1Mvs$0.22/1M+$0.58/1M
Context window
8kvs205k+197k
DeepSeek: R1 Distill Llama 70B: 1WMiniMax M2.5: 2W

Side-by-Side Benchmark Matrix

DeepSeek: R1 Distill Llama 70BMiniMax M2.5
Preference Elo
DeepSeek: R1 Distill Llama 70B—
MiniMax M2.51,478
Coding Elo
DeepSeek: R1 Distill Llama 70B—
MiniMax M2.51,536
LiveBench
DeepSeek: R1 Distill Llama 70B—
MiniMax M2.564.4%
SWE-bench
DeepSeek: R1 Distill Llama 70B—
MiniMax M2.575.8%
GPQA Diamond
DeepSeek: R1 Distill Llama 70B—
MiniMax M2.576.2%
Time to first token
DeepSeek: R1 Distill Llama 70B—
MiniMax M2.5250 ms
Output speed
DeepSeek: R1 Distill Llama 70B—
MiniMax M2.590 tok/s
Input priceMiniMax M2.5 +$0.58/1M
DeepSeek: R1 Distill Llama 70B$0.8/1M
MiniMax M2.5$0.22/1M
Output priceDeepSeek: R1 Distill Llama 70B +$0.1/1M
DeepSeek: R1 Distill Llama 70B$0.8/1M
MiniMax M2.5$0.9/1M
Context windowMiniMax M2.5 +197k
DeepSeek: R1 Distill Llama 70B8k
MiniMax M2.5205k
BenchmarkDeepSeek: R1 Distill Llama 70BMiniMax M2.5Advantage Delta
Preference Elo—
1,478
lmarena · Aug 17, 2026
—
Coding Elo—
1,536
lmarena · Aug 17, 2026
—
LiveBench—
64.4%
livebench · Aug 17, 2026
—
SWE-bench—
75.8%
swebench · Aug 17, 2026
—
GPQA Diamond—
76.2%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
250 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
90 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.8/1M
openrouter · Aug 17, 2026
$0.22/1M
openrouter · Aug 17, 2026
+$0.58/1M
Output price
$0.8/1M
openrouter · Aug 17, 2026
$0.9/1M
openrouter · Aug 17, 2026
+$0.1/1M
Context window
8k
openrouter · Aug 17, 2026
205k
openrouter · Aug 17, 2026
+197k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 47% with MiniMax M2.5
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek: R1 Distill Llama 70B$40.00 / mo
In: $28Out: $12
MiniMax M2.5$21.20 / mo
In: $7.7Out: $13.5
Estimated Cost Delta

MiniMax M2.5 is estimated to save $18.80/month ($226/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek: R1 Distill Llama 70B:Pick DeepSeek: R1 Distill Llama 70B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek: R1 Distill Llama 70B

Lower output list price ($0.8/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax M2.5

Larger window (205k).

Screenshots / visionMiniMax M2.5

MiniMax M2.5 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatDeepSeek: R1 Distill Llama 70BLower output list price ($0.8/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGMiniMax M2.5Larger window (205k).
Screenshots / visionMiniMax M2.5MiniMax M2.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchFeb 12, 2026

MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Tied near the top of official SWE-bench bash-only in Feb 2026. Coding lists should still see it.

Cast Your Matchup Vote

0 total votes

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
DeepSeek

DeepSeek: R1 Distill Llama 70B

Elo n/a
SWE-bench—
Speed (tok/s)8k
Input / 1M Tokens$0.8/1M
Output / 1M Tokens$0.8/1M
MiniMax

MiniMax M2.5

Elo 1,478
SWE-bench75.8%
Speed (tok/s)90 tok/s
Input / 1M Tokens$0.22/1M
Output / 1M Tokens$0.9/1M

Frequently Asked Questions

Which is better overall, DeepSeek: R1 Distill Llama 70B or MiniMax M2.5?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, DeepSeek: R1 Distill Llama 70B or MiniMax M2.5?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
DeepSeek: R1 Distill Llama 70B output tokens are $0.8/1M versus $0.9/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek: R1 Distill Llama 70B or MiniMax M2.5?
We do not have TTFT for both models.
Which has the larger context window?
MiniMax M2.5 accepts 205k tokens versus 8k.
Can I self-host either model?
MiniMax M2.5 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek: R1 Distill Llama 70B and MiniMax M2.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Feb 12, 2026

    MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Similar Head-to-Head Comparisons

All DeepSeek: R1 Distill Llama 70B matchups →|All MiniMax M2.5 matchups →
DeepSeek V4 Pro vs MiniMax M2.5DeepSeek V4 Flash vs MiniMax M2.5DeepSeek R1 vs MiniMax M2.5DeepSeek V3 vs MiniMax M2.5DeepSeek Coder V2 vs MiniMax M2.5Claude Opus 4.5 vs MiniMax M2.5