Coding
Directional only- Claude Opus 4.7 (Adaptive)
- 59.6
- Estimated · #27/183
- Grok Code Fast 1
- 32.5
- Estimated · #163/183
- Basis
- BenchAlign lane · 3 vs 1 public rows
- Reading
- Directional only
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69.94/100
Estimated · Public rank #23
90% interval 51.6–81.5
Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Claude Opus 4.7 (Adaptive) has the higher public score, 69.94 versus 37.21, and the 90% score intervals do not overlap.
1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
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
Claude Opus 4.7 (Adaptive)
Claude Opus 4.7 (Adaptive) has the larger documented context window.
Confidence: documented
1K fresh input + 500 output tokens
Grok Code Fast 1
Grok Code Fast 1 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
Grok Code Fast 1
Grok Code Fast 1 has the lower estimated token cost for this stated workload. Claude Opus 4.7 (Adaptive) has no published cached-input rate, so cached tokens use its listed input rate. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
50K fresh input + 3K output tokens
Grok Code Fast 1
Grok Code Fast 1 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
Claude Opus 4.7 (Adaptive) and Grok Code Fast 1 are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Grok Code Fast 1 is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
| Category | Claude Opus 4.7 (Adaptive) | Grok Code Fast 1 | Basis | Reading |
|---|---|---|---|---|
| Coding | 59.6Estimated · #27/183 | 32.5Estimated · #163/183 | Directional onlyBenchAlign lane · 3 vs 1 public rows | Directional only |
| Knowledge | 61.9Estimated · #31/181 | 39.1Estimated · #144/181 | Directional onlyBenchAlign lane · 4 vs 0 public rows | Directional only |
| Agentic | 61.0Supported · #21/151 | Not ranked | Not comparableBenchAlign lane · 7 vs 0 public rows | Not comparable |
| Reasoning | 49.7Unranked · 3 rankable rows | 57.7Unranked · 2 rankable rows | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 50.3#36/48 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | 48.2#83/120 | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
SWE-bench Verified
Coding
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
Grok Code Fast 1 has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Grok Code Fast 1 has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Grok Code Fast 1 has the lower modeled cost
Claude Opus 4.7 (Adaptive) has no published cached-input rate, so cached tokens use its listed input rate. Grok Code Fast 1 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.
Claude Opus 4.7 (Adaptive)
1M
Grok Code Fast 1
256K
Claude Opus 4.7 (Adaptive)
Not sourced
Grok Code Fast 1
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Opus 4.7 (Adaptive)
Not published
Grok Code Fast 1
Not published
Claude Opus 4.7 (Adaptive)
Not sourced
Grok Code Fast 1
Not sourced
Claude Opus 4.7 (Adaptive)
Not sourced
Grok Code Fast 1
Not sourced
Claude Opus 4.7 (Adaptive)
Not sourced
Grok Code Fast 1
Not sourced
Claude Opus 4.7 (Adaptive)
Reasoning
Grok Code Fast 1
Non-Reasoning
Claude Opus 4.7 (Adaptive)
Proprietary
Grok Code Fast 1
Proprietary
Claude Opus 4.7 (Adaptive)
Proprietary
Grok Code Fast 1
Proprietary
Claude Opus 4.7 (Adaptive)
2026-04-16
Grok Code Fast 1
2025-08-28
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.
Terminal-Bench 2.0
Not directly comparable
BrowseComp
Not directly comparable
MCP Atlas
Not directly comparable
OSWorld-Verified
Not directly comparable
CyberGym
Not directly comparable
OSWorld 2.0
Not directly comparable
JobBench
Not directly comparable
SWE-bench Verified
Claude Opus 4.7 (Adaptive) leads this result
SWE-bench Pro
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
GPQA
Not directly comparable
GPQA-D
Not directly comparable
HLE
Not directly comparable
HLE w/o tools
Not directly comparable
FrontierMath (legacy)
Not directly comparable
Claude Opus 4.7 (Adaptive) has the higher public score, 69.94 versus 37.21, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Claude Opus 4.7 (Adaptive) scores higher for coding on the public lane, 59.6 to 32.5. Claude Opus 4.7 (Adaptive) and Grok Code Fast 1 are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Grok Code Fast 1 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
For the stated presets, chat costs $0.0175 on Claude Opus 4.7 (Adaptive) and $0.00095 on Grok Code Fast 1; repository review costs $0.325 and $0.0145; the cache-heavy agent loop costs $1.35 and $0.059. Claude Opus 4.7 (Adaptive) has no published cached-input rate, so cached tokens use its listed input rate. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Claude Opus 4.7 (Adaptive) has the larger documented context window: 1M, compared with 256K.
Last updated September 4, 2026
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