Model comparison
DeepSeek V4-Pro vs Muse Glimmer 30B
DeepSeek against Meta, compared on context, price, and verified benchmark results.
Catalog record checked August 14, 2026; individual provider fields may change.
DeepSeek
DeepSeek V4-Pro
Balanced · Open weights
Meta
Muse Glimmer 30B
Balanced · Open weights
| Specification | DeepSeek V4-Pro | Muse Glimmer 30B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Tier | Balanced | Balanced |
| Context window | Winner: 1M | 131K |
| Max output | 384K | Not verified |
| Input / 1M tokens | $0.435 | Winner: $0 |
| Output / 1M tokens | $0.87 | Winner: $0 |
| Weights | Open | Open |
| Parameters | 1.6T total / 49B active (MoE) | ~29.6B dense (incl. ~1.8B perception encoder) |
| Reasoning levels | low, high, max | Not verified |
| Modalities | text | text, image |
| Released | April 24, 2026 | August 10, 2026 |
| Artificial Analysis Intelligence Index [max] (2026-08-14) | 53 | Not verified |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Pricing tiers: DeepSeek V4-Pro: API id `deepseek-v4-pro` is unchanged across the 2026-04-24 preview and the 2026-08-13 GA checkpoint. Current list is $0.435/$0.87 per million tokens (cache miss / output) until 2026-08-16 16:00 UTC. From then, official peak/off-peak rates: off-peak $0.66/$1.98, peak $1.32/$3.96 (cache miss / output). Peak hours are 01:00–04:00 and 06:00–10:00 UTC. · Muse Glimmer 30B: Apache 2.0 open weights (BF16 + official GGUF); hosted inference billed by provider.
DeepSeek V4-Pro
DeepSeek's larger V4 sibling for harder reasoning and coding, still priced well below closed mid tiers.
Best for
- Harder reasoning on a budget
- Open-weight deployments
- Agentic coding when Flash is not enough
Watch out
The April preview and 2026-08-13 GA share one API id — pin the date of any score you cite. Artificial Analysis currently evaluates the 0813 (max) checkpoint at Intelligence Index 53, Terminal-Bench v2.1 78.7%, and GPQA Diamond 92.8%. Peak/off-peak API rates take effect 2026-08-16 16:00 UTC.
Muse Glimmer 30B
Meta's open-weight multimodal agentic model distilled from Muse Spark for local consumer hardware (~24–32GB class with 4-bit).
Best for
- Local agents
- On-device coding + tool use
- Privacy-sensitive multimodal work
Watch out
Full BF16 needs far more than 24GB — plan on official GGUF / 4-bit packs (and mmproj for vision). Agentic quality ≠ frontier Muse Spark API; validate on your workflows.
Benchmark
DeepSWE 1.1 in context
Only DeepSeek V4-Pro has a published DeepSWE 1.1 result. It is shown against the wider field, with cost per completed task alongside the score.
Local leader
Claude Opus 5 [max]
74%
Rows shown
24
Highest published reasoning effort per model (not best Pass@1)
Snapshot date
2026-08-13
Mirrored from deepswe.datacurve.ai
Better is toward the top-right (higher pass rate, lower cost). X-axis is reversed to match DeepSWE’s public chart. v1.1 uses average cost / tokens / steps; v1 uses published medians.
| # | Model | Pass@1 | Cost / task | Tokens / task | Steps / task |
|---|---|---|---|---|---|
| 1 | Claude Opus 5 [max] | 74% | $11.84 | 118k | 99 |
| 2 | GPT-5.6 Sol [max] | 73% | $8.39 | 60k | 61 |
| 3 | Claude Fable 5 [max] | 70% | $21.63 | 119k | 88 |
| 4 | GPT-5.6 Terra [max] | 70% | $4.95 | 72k | 76 |
| 5 | Kimi K3 [max] | 69% | $4.65 | 82k | 98 |
| 6 | GPT-5.6 Luna [max] | 67% | $3.03 | 73k | 102 |
| 7 | GPT-5.5 [xhigh] | 67% | $7.23 | 46k | 82 |
| 8 | Grok 4.6 [xhigh] | 67% | $5.50 | 71k | 87 |
| 9 | Gemini 3.7 Flash [high] | 65% | $2.18 | 107k | 125 |
| 10 | DeepSeek V4-Pro [max] | 63% | $0.24 | 106k | 155 |
| 11 | Claude Opus 4.8 [max] | 59% | $13.22 | 135k | 120 |
| 12 | Qwen3.8-Max [xhigh] | 58% | $3.73 | 95k | 111 |
| 13 | Muse Spark 1.2 [xhigh] | 55% | $3.70 | 99k | 101 |
| 14 | Claude Sonnet 5 [max] | 54% | $26.40 | 214k | 268 |
| 15 | Grok 4.5 [high] | 54% | $2.42 | 36k | 61 |
| 16 | DeepSeek V4-Flash [max] | 53% | $0.10 | 108k | 153 |
| 17 | Muse Spark 1.1 [xhigh] | 53% | $2.36 | 74k | 96 |
| 18 | GPT-5.4 [xhigh] | 52% | $5.65 | 71k | 70 |
| 19 | Gemini 3.6 Flash [high] | 47% | $4.42 | 96k | 117 |
| 20 | GLM 5.2 [max] | 44% | $3.92 | 78k | 129 |
| 21 | Gemini 3.5 Flash [high] | 36% | $3.45 | 76k | 105 |
| 22 | Kimi K2.7 Code | 31% | $2.82 | 59k | 149 |
| 23 | Claude Sonnet 4.6 [high] | 30% | $5.52 | 76k | 134 |
| 24 | Gemini 3.1 Pro [high] | 12% | $2.14 | 28k | 76 |
DeepSWE “Best” picks the highest published reasoning effort per model (not the highest pass rate). Small gaps may not be statistically meaningful — confirm on deepswe.datacurve.ai.
Common questions
DeepSeek V4-Pro vs Muse Glimmer 30B
Answered from the verified figures on this page rather than general guidance.
Is DeepSeek V4-Pro or Muse Glimmer 30B cheaper for input?
Muse Glimmer 30B is cheaper at $0 per million input tokens, against $0.435 for DeepSeek V4-Pro. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; DeepSeek V4-Pro has tiered pricing: API id `deepseek-v4-pro` is unchanged across the 2026-04-24 preview and the 2026-08-13 GA checkpoint. Current list is $0.435/$0.87 per million tokens (cache miss / output) until 2026-08-16 16:00 UTC. From then, official peak/off-peak rates: off-peak $0.66/$1.98, peak $1.32/$3.96 (cache miss / output). Peak hours are 01:00–04:00 and 06:00–10:00 UTC. Muse Glimmer 30B has tiered pricing: Apache 2.0 open weights (BF16 + official GGUF); hosted inference billed by provider.
Is DeepSeek V4-Pro or Muse Glimmer 30B cheaper for output?
Muse Glimmer 30B is cheaper at $0 per million output tokens, against $0.87 for DeepSeek V4-Pro. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; DeepSeek V4-Pro has tiered pricing: API id `deepseek-v4-pro` is unchanged across the 2026-04-24 preview and the 2026-08-13 GA checkpoint. Current list is $0.435/$0.87 per million tokens (cache miss / output) until 2026-08-16 16:00 UTC. From then, official peak/off-peak rates: off-peak $0.66/$1.98, peak $1.32/$3.96 (cache miss / output). Peak hours are 01:00–04:00 and 06:00–10:00 UTC. Muse Glimmer 30B has tiered pricing: Apache 2.0 open weights (BF16 + official GGUF); hosted inference billed by provider.
Which has the larger context window, DeepSeek V4-Pro or Muse Glimmer 30B?
DeepSeek V4-Pro accepts 1M tokens against 131K for Muse Glimmer 30B. This only matters if you routinely send very long documents or large codebases.
Should I use DeepSeek V4-Pro or Muse Glimmer 30B?
Both sit in the balanced tier, so the choice usually comes down to price and context rather than capability. DeepSeek V4-Pro suits harder reasoning on a budget; Muse Glimmer 30B suits local agents.
Next step
Choosing between them
Tier and workload decide this more reliably than a leaderboard position does.
If both sit in the same tier, the decision usually comes down to context window and output price rather than headline capability — output tokens dominate real bills.
If one is a step up within the same provider, the useful question is whether your hardest task actually fails on the cheaper tier. Most production volume — classification, extraction, summarization — does not.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Muse Code, or Lovable? Compare agentic harnesses · Latest releases.