Agentic
Not comparable- Grok 4.20
- 47.1
- Qwen3.5 Plus
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
Start free briefUpdated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Grok 4.20 has the higher public score estimate, 54.41 versus 46.73, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Prompts that approach the documented context limit
Grok 4.20
Grok 4.20 has the larger documented context window.
Confidence: documented
1K fresh input + 500 output tokens
Qwen3.5 Plus
Qwen3.5 Plus has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
200K cached + 20K fresh input + 10K output tokens
Qwen3.5 Plus
Qwen3.5 Plus has the lower estimated token cost for this stated workload. Grok 4.20 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
50K fresh input + 3K output tokens
Qwen3.5 Plus
Qwen3.5 Plus has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
| Category | Grok 4.20 | Qwen3.5 Plus | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 47.1 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Coding | 67.1 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Reasoning | 53.3 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Knowledge | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | Not measured | 16.3 | Not comparable0 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | 70.1 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
1K fresh input + 500 output tokens
Qwen3.5 Plus has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Qwen3.5 Plus has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Qwen3.5 Plus has the lower modeled cost
Grok 4.20 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Grok 4.20
2M
Qwen3.5 Plus
1M
Grok 4.20
Not sourced
Qwen3.5 Plus
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Grok 4.20
Not published
Qwen3.5 Plus
Not published
Grok 4.20
Not sourced
Qwen3.5 Plus
Not sourced
Grok 4.20
Not sourced
Qwen3.5 Plus
Not sourced
Grok 4.20
Not sourced
Qwen3.5 Plus
Not sourced
Grok 4.20
Reasoning
Qwen3.5 Plus
Reasoning
Grok 4.20
Proprietary
Qwen3.5 Plus
Proprietary
Grok 4.20
Proprietary
Qwen3.5 Plus
Proprietary
Grok 4.20
2026-03-10
Qwen3.5 Plus
2026-03-04
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
LiveCodeBench Pro
Not directly comparable
SWE-bench Verified
Not directly comparable
SWE-bench Pro
Not directly comparable
Vibe Code Bench
Shared sourceQwen3.5 Plus leads this result
MMMU-Pro
Not directly comparable
CharXiv
Not directly comparable
ERQA
Not directly comparable
SimpleVQA
Not directly comparable
MedXpertQA (MM)
Not directly comparable
Grok 4.20 has the higher public score estimate, 54.41 versus 46.73, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
For the stated presets, chat costs $0.005 on Grok 4.20 and $0.0016 on Qwen3.5 Plus; repository review costs $0.118 and $0.0272; the cache-heavy agent loop costs $0.5 and $0.112. Grok 4.20 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input rate.
Grok 4.20 has the larger documented context window: 2M, compared with 1M.
Last updated August 13, 2026
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